Software Engineer jobs at Boston Consulting Group

We are: A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You are: An AI Native Engineer with a minimum of 3 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You'll help shape the playbook for how enterprises adopt and scale AI-native engineering globally. The Work: You'll embed directly with clients - acting as both technologist and trusted advisor. You'll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners. Responsibilities: * Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. * AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement. * Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems. * Domain-Specific Workflows: Tailor and deploy agentic applications across verticals - e.g., finance, healthcare, retail - addressing domain-specific processes via intelligent automation. * Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. * Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. * Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements. At Accenture, we hire the best people and help them become even better through world-class training, career counseling, mentoring and support to help you maintain professional success. Qualification Here's What You Need: * Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). * Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. * Minimum of 3 years experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models - including building abstraction layers to manage multi-provider pipelines. * Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability. * Minimum of 5 years experience deploying to production - CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. * Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity. * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) Bonus Points If: * You've served as an Agentic AI Engineer in an Enterprise environment * Additional AI certifications or agentic tool experience is a plus. * You've defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures. * You understand the AI-native paradigm - blending cloud-native with generative model architectures - optimizing for performance, modularity, and efficiency. * You've delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $94,400 to $266,300 Cleveland $87,400 to $213,000 Colorado $94,400 to $230,000 District of Columbia $100,500 to $245,000 Illinois $87,400 to $230,000 Maryland $94,400 to $230,000 Massachusetts $94,400 to $245,000 Minnesota $94,400 to $230,000 New York/New Jersey $87,400 to $266,300 Washington $100,500 to $245,000 #LI-MP #LI-NA Locations

We are: A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You are: An AI Native Engineer with a minimum of 3 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. Y ou'll help shape the playbook for how enterprises adopt and scale AI-native engineering globally. The Work: You'll embed directly with clients - acting as both technologist and trusted advisor. You'll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners. Responsibilities: + Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. + AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement. + Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems. + Domain-Specific Workflows: Tailor and deploy agentic applications across verticals - e.g., finance, healthcare, retail - addressing domain-specific processes via intelligent automation. + Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. + Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. + Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements. At Accenture, we hire the best people and help them become even better through world-class training, career counseling, mentoring and support to help you maintain professional success. Here's What You Need: + Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). + Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. + Minimum of 3 years experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models - including building abstraction layers to manage multi-provider pipelines. + Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability. + Minimum of 5 years experience deploying to production - CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. + Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity. + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) Bonus Points If: + You've served as an Agentic AI Engineer in an Enterprise environment + Additional AI certifications or agentic tool experience is a plus. + You've defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures. + You understand the AI-native paradigm - blending cloud-native with generative model architectures - optimizing for performance, modularity, and efficiency. + You've delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Annual Salary Range California $94,400 to $266,300 Cleveland $87,400 to $213,000 Colorado $94,400 to $230,000 District of Columbia $100,500 to $245,000 Illinois $87,400 to $230,000 Maryland $94,400 to $230,000 Massachusetts $94,400 to $245,000 Minnesota $94,400 to $230,000 New York/New Jersey $87,400 to $266,300 Washington $100,500 to $245,000 #LI-MP #LI-NA Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Role Overview: As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 9/22/25. Key Responsibilities: * Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. * Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. * Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Deeply hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. * Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. * Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. * Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. * Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. * Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. * Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. * Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The successful candidate will possess: Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications: Required: * A bachelor's degree in computer science, software engineering, or a related discipline. * 5+ years proven experience with most of the following: Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. * 5+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP, specifically with demonstrated experience with AWS technologies, including Glue pipeline, Step Functions, EMR, Lambda, Neptune, Snowflake, Redshift, Aurora (PostgreSQL), Iceberg Table format, SQS/SNS, Athena, OpenSearch, PySpark, AppSync, AWS SageMaker, and AWS Bedrock. * Limited immigration sponsorship may be available * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: * An advanced degree (e.g., MS) in computer science, software engineering, or a related discipline. * Prior software engineering experience/foundation with an understanding of OOPs, data structures, algorithms, code instrumentations, beautiful coding practices, etc. * Prior experience with AI/ML and GenAI, specifically large language models (LLMs) like OpenAI, Anthropic, Claude, and Gemini, including engineering experience with AI/ML-based applications, including modules based on the Generative AI concept. * Prior experience using methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600 to $200,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ EA_ITS_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 301594 Job ID 301594

Role Overview: As a Full-stack Software Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 9/22/25. Key Responsibilities: + Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. + Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. + Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Deeply hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. + Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. + Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. + Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. + Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. + Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. + Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. + Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The successful candidate will possess: Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications: Required: + A bachelor's degree in computer science, software engineering, or a related discipline. + 5+ years proven experience with most of the following: Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. + 5+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP, specifically with demonstrated experience with AWS technologies, including Glue pipeline, Step Functions, EMR, Lambda, Neptune, Snowflake, Redshift, Aurora (PostgreSQL), Iceberg Table format, SQS/SNS, Athena, OpenSearch, PySpark, AppSync, AWS SageMaker, and AWS Bedrock. + Limited immigration sponsorship may be available + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: + An advanced degree (e.g., MS) in computer science, software engineering, or a related discipline. + Prior software engineering experience/foundation with an understanding of OOPs, data structures, algorithms, code instrumentations, beautiful coding practices, etc. + Prior experience with AI/ML and GenAI, specifically large language models (LLMs) like OpenAI, Anthropic, Claude, and Gemini, including engineering experience with AI/ML-based applications, including modules based on the Generative AI concept. + Prior experience using methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600 to $200,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ EA_ITS_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Role Overview: As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 9/22/25. Key Responsibilities: * Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. * Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. * Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Deeply hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. * Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. * Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. * Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. * Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. * Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. * Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. * Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The successful candidate will possess: Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications: Required: * A bachelor's degree in computer science, software engineering, or a related discipline. * 5+ years proven experience with most of the following: Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. * 5+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP, specifically with demonstrated experience with AWS technologies, including Glue pipeline, Step Functions, EMR, Lambda, Neptune, Snowflake, Redshift, Aurora (PostgreSQL), Iceberg Table format, SQS/SNS, Athena, OpenSearch, PySpark, AppSync, AWS SageMaker, and AWS Bedrock. * Limited immigration sponsorship may be available * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: * An advanced degree (e.g., MS) in computer science, software engineering, or a related discipline. * Prior software engineering experience/foundation with an understanding of OOPs, data structures, algorithms, code instrumentations, beautiful coding practices, etc. * Prior experience with AI/ML and GenAI, specifically large language models (LLMs) like OpenAI, Anthropic, Claude, and Gemini, including engineering experience with AI/ML-based applications, including modules based on the Generative AI concept. * Prior experience using methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600 to $200,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ EA_ITS_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 301594 Job ID 301594

Role Overview: As a Full-stack Software Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 9/22/25. Key Responsibilities: + Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. + Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. + Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Deeply hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. + Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. + Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. + Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. + Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. + Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. + Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. + Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The successful candidate will possess: Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications: Required: + A bachelor's degree in computer science, software engineering, or a related discipline. + 5+ years proven experience with most of the following: Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. + 5+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP, specifically with demonstrated experience with AWS technologies, including Glue pipeline, Step Functions, EMR, Lambda, Neptune, Snowflake, Redshift, Aurora (PostgreSQL), Iceberg Table format, SQS/SNS, Athena, OpenSearch, PySpark, AppSync, AWS SageMaker, and AWS Bedrock. + Limited immigration sponsorship may be available + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: + An advanced degree (e.g., MS) in computer science, software engineering, or a related discipline. + Prior software engineering experience/foundation with an understanding of OOPs, data structures, algorithms, code instrumentations, beautiful coding practices, etc. + Prior experience with AI/ML and GenAI, specifically large language models (LLMs) like OpenAI, Anthropic, Claude, and Gemini, including engineering experience with AI/ML-based applications, including modules based on the Generative AI concept. + Prior experience using methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600 to $200,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ EA_ITS_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Role Overview: As a Full-stack Software Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 9/22/25. Key Responsibilities: * Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. * Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. * Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Deeply hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. * Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. * Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. * Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. * Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. * Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. * Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. * Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The successful candidate will possess: Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications: Required: * A bachelor's degree in computer science, software engineering, or a related discipline. * 5+ years proven experience with most of the following: Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. * 5+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP, specifically with demonstrated experience with AWS technologies, including Glue pipeline, Step Functions, EMR, Lambda, Neptune, Snowflake, Redshift, Aurora (PostgreSQL), Iceberg Table format, SQS/SNS, Athena, OpenSearch, PySpark, AppSync, AWS SageMaker, and AWS Bedrock. * Limited immigration sponsorship may be available * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: * An advanced degree (e.g., MS) in computer science, software engineering, or a related discipline. * Prior software engineering experience/foundation with an understanding of OOPs, data structures, algorithms, code instrumentations, beautiful coding practices, etc. * Prior experience with AI/ML and GenAI, specifically large language models (LLMs) like OpenAI, Anthropic, Claude, and Gemini, including engineering experience with AI/ML-based applications, including modules based on the Generative AI concept. * Prior experience using methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600 to $200,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ EA_ITS_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 301594 Job ID 301594

Role Overview: As a Full-stack Software Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 9/22/25. Key Responsibilities: + Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. + Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. + Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Deeply hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. + Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. + Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. + Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. + Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. + Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. + Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. + Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The successful candidate will possess: Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications: Required: + A bachelor's degree in computer science, software engineering, or a related discipline. + 5+ years proven experience with most of the following: Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL. + 5+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP, specifically with demonstrated experience with AWS technologies, including Glue pipeline, Step Functions, EMR, Lambda, Neptune, Snowflake, Redshift, Aurora (PostgreSQL), Iceberg Table format, SQS/SNS, Athena, OpenSearch, PySpark, AppSync, AWS SageMaker, and AWS Bedrock. + Limited immigration sponsorship may be available + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: + An advanced degree (e.g., MS) in computer science, software engineering, or a related discipline. + Prior software engineering experience/foundation with an understanding of OOPs, data structures, algorithms, code instrumentations, beautiful coding practices, etc. + Prior experience with AI/ML and GenAI, specifically large language models (LLMs) like OpenAI, Anthropic, Claude, and Gemini, including engineering experience with AI/ML-based applications, including modules based on the Generative AI concept. + Prior experience using methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600 to $200,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ EA_ITS_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

We are: A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You are: An AI Native Engineer with a minimum of 3 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You'll help shape the playbook for how enterprises adopt and scale AI-native engineering globally. The Work: You'll embed directly with clients - acting as both technologist and trusted advisor. You'll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners. Responsibilities: * Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. * AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement. * Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems. * Domain-Specific Workflows: Tailor and deploy agentic applications across verticals - e.g., finance, healthcare, retail - addressing domain-specific processes via intelligent automation. * Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. * Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. * Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements. At Accenture, we hire the best people and help them become even better through world-class training, career counseling, mentoring and support to help you maintain professional success. Qualification Here's What You Need: * Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). * Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. * Minimum of 3 years experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models - including building abstraction layers to manage multi-provider pipelines. * Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability. * Minimum of 5 years experience deploying to production - CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. * Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity. * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) Bonus Points If: * You've served as an Agentic AI Engineer in an Enterprise environment * Additional AI certifications or agentic tool experience is a plus. * You've defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures. * You understand the AI-native paradigm - blending cloud-native with generative model architectures - optimizing for performance, modularity, and efficiency. * You've delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $94,400 to $266,300 Cleveland $87,400 to $213,000 Colorado $94,400 to $230,000 District of Columbia $100,500 to $245,000 Illinois $87,400 to $230,000 Maryland $94,400 to $230,000 Massachusetts $94,400 to $245,000 Minnesota $94,400 to $230,000 New York/New Jersey $87,400 to $266,300 Washington $100,500 to $245,000 #LI-MP #LI-NA Locations

We are: A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You are: An AI Native Engineer with a minimum of 3 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. Y ou'll help shape the playbook for how enterprises adopt and scale AI-native engineering globally. The Work: You'll embed directly with clients - acting as both technologist and trusted advisor. You'll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners. Responsibilities: + Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. + AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement. + Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems. + Domain-Specific Workflows: Tailor and deploy agentic applications across verticals - e.g., finance, healthcare, retail - addressing domain-specific processes via intelligent automation. + Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. + Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. + Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements. At Accenture, we hire the best people and help them become even better through world-class training, career counseling, mentoring and support to help you maintain professional success. Here's What You Need: + Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). + Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. + Minimum of 3 years experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models - including building abstraction layers to manage multi-provider pipelines. + Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability. + Minimum of 5 years experience deploying to production - CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. + Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity. + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) Bonus Points If: + You've served as an Agentic AI Engineer in an Enterprise environment + Additional AI certifications or agentic tool experience is a plus. + You've defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures. + You understand the AI-native paradigm - blending cloud-native with generative model architectures - optimizing for performance, modularity, and efficiency. + You've delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Annual Salary Range California $94,400 to $266,300 Cleveland $87,400 to $213,000 Colorado $94,400 to $230,000 District of Columbia $100,500 to $245,000 Illinois $87,400 to $230,000 Maryland $94,400 to $230,000 Massachusetts $94,400 to $245,000 Minnesota $94,400 to $230,000 New York/New Jersey $87,400 to $266,300 Washington $100,500 to $245,000 #LI-MP #LI-NA Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Product Architect As a Product Architect , you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 24th April,2026 Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards-being responsible for product architecture blueprints, high-level architecture designs (e.g., "4+1 model" or relevant others), and integration architecture into the technical landscape and technology stack. Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive application of those new technologies. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time. Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into technical requirements and designs. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications: + A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. + Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations, etc. + 10+ years proven experience with programming languages like Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing frameworks with 5 years' experience in architecting enterprise solutions. + 5+ years of hands-on experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. + 3+ years of experience with AI/ML and GenAI is preferred. + Deep understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. + Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. + Limited immigration sponsorship may be available The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $208300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ #EA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Product Architect Role Overview: As a Product Architect , you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on 2/1/2026. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards-being responsible for product architecture blueprints, high-level architecture designs (e.g., "4+1 model" or relevant others), and integration architecture into the technical landscape and technology stack. Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive application of those new technologies. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time. Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into technical requirements and designs. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Qualifications: Required + A bachelor's degree in computer science, software engineering, or a related discipline. + 1+ years of leadership experience. + 6+ years proven experience with programming languages like Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing frameworks. + 5+ years of hands-on experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. + 5 years' experience in architecting enterprise solutions. + Limited immigration sponsorship may be available + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. Information for applicants with a need for accommodation: ************************************************************************************************************ Preferred + Advanced degree (e.g., MS) + Previous experience with software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data-structures, algorithms, code instrumentations, etc. + 10+ years proven experience with programming languages like Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing frameworks. + 3+ years of experience with AI/ML and GenAI + Prior experience using methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $208,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. EA_ITS_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

We are: A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You are: An AI Native Engineer with a minimum of 3 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. You'll help shape the playbook for how enterprises adopt and scale AI-native engineering globally. The Work: You'll embed directly with clients - acting as both technologist and trusted advisor. You'll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners. Responsibilities: * Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. * AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement. * Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems. * Domain-Specific Workflows: Tailor and deploy agentic applications across verticals - e.g., finance, healthcare, retail - addressing domain-specific processes via intelligent automation. * Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. * Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. * Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements. At Accenture, we hire the best people and help them become even better through world-class training, career counseling, mentoring and support to help you maintain professional success. Qualification Here's What You Need: * Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). * Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. * Minimum of 3 years experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models - including building abstraction layers to manage multi-provider pipelines. * Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability. * Minimum of 5 years experience deploying to production - CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. * Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity. * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) Bonus Points If: * You've served as an Agentic AI Engineer in an Enterprise environment * Additional AI certifications or agentic tool experience is a plus. * You've defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures. * You understand the AI-native paradigm - blending cloud-native with generative model architectures - optimizing for performance, modularity, and efficiency. * You've delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $94,400 to $266,300 Cleveland $87,400 to $213,000 Colorado $94,400 to $230,000 District of Columbia $100,500 to $245,000 Illinois $87,400 to $230,000 Maryland $94,400 to $230,000 Massachusetts $94,400 to $245,000 Minnesota $94,400 to $230,000 New York/New Jersey $87,400 to $266,300 Washington $100,500 to $245,000 #LI-MP #LI-NA Locations

We are: A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. You are: An AI Native Engineer with a minimum of 3 years of experience building cloud-native solutions, and deep expertise in designing and deploying agentic systems, especially for enterprise environments. You are a critical thinker that thrives in ambiguity, delivering concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure. Y ou'll help shape the playbook for how enterprises adopt and scale AI-native engineering globally. The Work: You'll embed directly with clients - acting as both technologist and trusted advisor. You'll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be completely net new platforms and systems that need to be stitched together in our clients' environments alongside our Ecosystem partners. Responsibilities: + Agent Architecture and Engineering: Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability. + AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc. ) to enable seamless integration and enablement. + Cloud-Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability to deliver scalable AI-native systems. + Domain-Specific Workflows: Tailor and deploy agentic applications across verticals - e.g., finance, healthcare, retail - addressing domain-specific processes via intelligent automation. + Client Engagement: Conduct design workshops, POCs, and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption. + Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness. + Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps. Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements. At Accenture, we hire the best people and help them become even better through world-class training, career counseling, mentoring and support to help you maintain professional success. Here's What You Need: + Minimum of 3 years engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). + Minimum of 1 year expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. + Minimum of 3 years experience with AI platforms - OpenAI, Claude, Vertex AI, plus open-source models - including building abstraction layers to manage multi-provider pipelines. + Minimum of 5 years experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability. + Minimum of 5 years experience deploying to production - CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging. + Minimum of 5 years experience with client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity. + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience) Bonus Points If: + You've served as an Agentic AI Engineer in an Enterprise environment + Additional AI certifications or agentic tool experience is a plus. + You've defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures. + You understand the AI-native paradigm - blending cloud-native with generative model architectures - optimizing for performance, modularity, and efficiency. + You've delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Annual Salary Range California $94,400 to $266,300 Cleveland $87,400 to $213,000 Colorado $94,400 to $230,000 District of Columbia $100,500 to $245,000 Illinois $87,400 to $230,000 Maryland $94,400 to $230,000 Massachusetts $94,400 to $245,000 Minnesota $94,400 to $230,000 New York/New Jersey $87,400 to $266,300 Washington $100,500 to $245,000 #LI-MP #LI-NA Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Industry/Sector Not Applicable Specialism Product Innovation Management Level Senior Associate At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Respond effectively to the diverse perspectives, needs, and feelings of others. * Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. * Use critical thinking to break down complex concepts. * Understand the broader objectives of your project or role and how your work fits into the overall strategy. * Develop a deeper understanding of the business context and how it is changing. * Use reflection to develop self awareness, enhance strengths and address development areas. * Interpret data to inform insights and recommendations. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Software Engineering team you will design and develop innovative software solutions that drive business success. As a Senior Associate, you will leverage your technical knowledge and problem-solving skills to navigate complex challenges, mentor junior team members, and build meaningful client relationships. This role offers the chance to work with advanced technologies and contribute to large-scale projects that impact the future of our clients. Responsibilities * Mentor and guide junior team members to foster their development * Cultivate substantial relationships with clients to understand their needs * Analyze project requirements and deliver quality results * Work with cross-functional teams to confirm project alignment * Maintain awareness of industry trends to drive continuous improvement What You Must Have * Bachelor's Degree in Business Analytics, Analytics, Accounting, Software Engineering, Computer Engineering & Accounting * At least 3 years of experience What Sets You Apart * Master's Degree preferred * Demonstrating proficiency in Java 8 or Python * Utilizing application frameworks like Spring Boot, Spring Cloud * Building Microservices REST API and Event Driven Design * Developing with Knative, Docker, and Kubernetes * Working with Kafka and Apache NiFi * Designing and querying Relational and NoSQL databases * Creating Web User Interfaces using JavaScript libraries * Experience with Agile Methodologies * Ability to implement AI thinking in the team and drive efficiencies across teams * Experience in working on AI tools in development lifecycles (GitHub CoPilot, Cursor etc) and bought in some efficiencies Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Role Overview: As a Product Architect , you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on April 24th, 2025. Key Responsibilities: + Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. + Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards-being responsible for product architecture blueprints, high-level architecture designs (e.g., "4+1 model" or relevant others), and integration architecture into the technical landscape and technology stack. + Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive the application of those new technologies. + Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time. + Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. + Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. + Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. + Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into technical requirements and designs. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. + Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. + Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The successful candidate will possess: + Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. + Limited immigration sponsorship may be available Required Qualifications: + A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor. + 6+ years of experience with multiple programming languages such as Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, as well as unit testing frameworks. + 5+ years of experience in designing and architecting enterprise solutions. + 5+ years of hands-on experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP. + 3+ years of experience with AI/ML and GenAI, specifically working with large language models (LLMs) such as OpenAI, Anthropic, Claude, and Gemini, including practical engineering of AI/ML-driven applications and solutions leveraging Generative AI. + Prior experience with AWS technologies-including Glue pipelines, Step Functions, EMR, Lambda, Neptune, Redshift, Aurora, SQS/SNS, Athena, OpenSearch, AppSync, SageMaker, and Bedrock-as well as with Snowflake and Apache Iceberg table formats in cloud-based data architectures. + Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations. + Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly. + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $232,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ #EA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Role Overview: As a Product Architect , you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on April 24th, 2025. Key Responsibilities: + Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. + Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards-being responsible for product architecture blueprints, high-level architecture designs (e.g., "4+1 model" or relevant others), and integration architecture into the technical landscape and technology stack. + Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive the application of those new technologies. + Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time. + Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. + Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. + Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. + Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into technical requirements and designs. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. + Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. + Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The successful candidate will possess: + Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. + Limited immigration sponsorship may be available Required Qualifications: + A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor. + 6+ years of experience with multiple programming languages such as Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, as well as unit testing frameworks. + 5+ years of experience in designing and architecting enterprise solutions. + 5+ years of hands-on experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP. + 3+ years of experience with AI/ML and GenAI, specifically working with large language models (LLMs) such as OpenAI, Anthropic, Claude, and Gemini, including practical engineering of AI/ML-driven applications and solutions leveraging Generative AI. + Prior experience with AWS technologies-including Glue pipelines, Step Functions, EMR, Lambda, Neptune, Redshift, Aurora, SQS/SNS, Athena, OpenSearch, AppSync, SageMaker, and Bedrock-as well as with Snowflake and Apache Iceberg table formats in cloud-based data architectures. + Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations. + Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly. + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $232,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ #EA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Role Overview: As a Product Architect, you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on April 24th, 2025. Key Responsibilities: * Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. * Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards-being responsible for product architecture blueprints, high-level architecture designs (e.g., "4+1 model" or relevant others), and integration architecture into the technical landscape and technology stack. * Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive the application of those new technologies. * Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time. * Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. * Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. * Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. * Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into technical requirements and designs. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. * Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. * Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The successful candidate will possess: * Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. * Limited immigration sponsorship may be available Required Qualifications: * A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor. * 6+ years of experience with multiple programming languages such as Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, as well as unit testing frameworks. * 5+ years of experience in designing and architecting enterprise solutions. * 5+ years of hands-on experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP. * 3+ years of experience with AI/ML and GenAI, specifically working with large language models (LLMs) such as OpenAI, Anthropic, Claude, and Gemini, including practical engineering of AI/ML-driven applications and solutions leveraging Generative AI. * Prior experience with AWS technologies-including Glue pipelines, Step Functions, EMR, Lambda, Neptune, Redshift, Aurora, SQS/SNS, Athena, OpenSearch, AppSync, SageMaker, and Bedrock-as well as with Snowflake and Apache Iceberg table formats in cloud-based data architectures. * Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations. * Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly. * Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $232,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ #EA_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 317019 Job ID 317019

Role Overview: As a Product Architect , you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on April 24th, 2025. Key Responsibilities: + Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. + Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards-being responsible for product architecture blueprints, high-level architecture designs (e.g., "4+1 model" or relevant others), and integration architecture into the technical landscape and technology stack. + Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive the application of those new technologies. + Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time. + Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. + Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. + Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. + Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into technical requirements and designs. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. + Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. + Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The successful candidate will possess: + Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. + Limited immigration sponsorship may be available Required Qualifications: + A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor. + 6+ years of experience with multiple programming languages such as Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, as well as unit testing frameworks. + 5+ years of experience in designing and architecting enterprise solutions. + 5+ years of hands-on experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP. + 3+ years of experience with AI/ML and GenAI, specifically working with large language models (LLMs) such as OpenAI, Anthropic, Claude, and Gemini, including practical engineering of AI/ML-driven applications and solutions leveraging Generative AI. + Prior experience with AWS technologies-including Glue pipelines, Step Functions, EMR, Lambda, Neptune, Redshift, Aurora, SQS/SNS, Athena, OpenSearch, AppSync, SageMaker, and Bedrock-as well as with Snowflake and Apache Iceberg table formats in cloud-based data architectures. + Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations. + Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly. + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $232,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ #EA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.