Software Engineer jobs at Carrier - 10968 jobs

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Top Secret (TS) What You Will Do: As part of Guidehouse's Technology - Platforms - UiPath team, you will work on high-impact and high-visibility projects, helping to shape not only Guidehouse's current business, but its long-term strategy. Build the future of Intelligent Automation as part of the Platforms Center of Excellence (CoE). The CoE is a unique team within Guidehouse, focusing on solving our client's most critical challenges using RPA, Microsoft Power Platform, and AI. The CoE works on a wide variety of projects; from helping clients get started on their automation journey, to implementing and scaling full grown RPA programs, to combining advanced technologies such as AI and machine learning with RPA to create cognitive automations that are able to complete tasks that would not be possible for RPA alone. As a senior Robotic Process Automation (RPA) developer, you'll be a critical member of a growing team with great opportunities to learn and advance your career. You will support internal and external customers, engaging at a high-level with other consulting professionals and clients. You'll be responsible for all aspects of implementing automation solutions from requirements gathering and process documentation to developing, testing, and deploying solutions. What You Will Need: U.S. Citizenship required and an active Top Secret Local to Huntsville, AL or Washington, DC Bachelor's degree is required Minimum of FIVE (5) years of experience with TWO (2) of those functioning as a senior RPA developer; Strong proficiency in RPA development lifecycle, including requirements gathering, design, build, test, and deployment. Demonstrated ability to optimize and troubleshoot complex RPA processes for performance, scalability, and reliability. Experience working with RPA Control Room, queue management, scheduling, and exception handling. Familiarity with RPA best practices, coding standards, and reusable component design. Experience implementing secure credential management and data handling within RPA platforms. Ability to collaborate with business analysts, architects, and infrastructure teams to deliver automation solutions aligned with business goals. Proven experience in code reviews, peer mentoring, and supporting junior developers. Strong documentation skills for technical specifications, process design documents, and support guides. Experience working in federal government or highly regulated environments, with knowledge of compliance and security standards. Experience integrating AI/ML capabilities into RPA workflows (e.g., intelligent document processing, NLP). Experience contributing to or supporting an RPA Center of Excellence (CoE), including documentation, standards, and governance. What Would Be Nice To Have: Active TS/SCI Local to Huntsville, AL Expertise in Blue Prism RPA platform The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking a AI Development Lead to drive the design, development, and delivery of AI solutions, especially Generative AI, for clients modernizing their operations through intelligent automation. This hands-on leader will guide agile teams in developing AI-enabled Minimum Viable Products (MVPs) while advising on architecture, deployment, and governance strategies. The ideal candidate blends strong technical depth in modern AI tools with consulting experience, ensuring that emerging technologies deliver measurable value for clients. AI Delivery Leadership Lead the end-to-end delivery of AI MVPs, from use case definition through demonstration and iteration, including engaging directly with clients. Design solution architectures and technical roadmaps that integrate AI components within client cloud environments. Oversee model development, validation, and user interface integration to create functional prototypes. Deliver MVP demonstrations, gather stakeholder feedback, and refine solutions through post-deployment feedback loops. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Agile Development & Team Enablement Lead agile development sprints and facilitate SCRUM ceremonies to ensure quality, velocity, and stakeholder alignment. Mentor developers and data scientists, fostering collaboration and excellence in applied AI engineering. Support backlog management, sprint prioritization, and delivery tracking across multidisciplinary teams. Generative AI & Technical Advisory Apply Generative AI and Large Language Model (LLM) techniques to automate, analyze, and enhance compliance and operational workflows. Evaluate and refine prompt engineering and context enrichment strategies for AI-based applications. Assess and optimize existing AI toolchains and workflows to improve scalability and delivery efficiency. Advise on production deployment strategies, including security, performance, and data integration considerations. Conduct operational readiness assessments to evaluate solution performance, resilience, and maintainability. Design lightweight model monitoring and retraining pipelines to maintain relevance and accuracy. Support AI governance alignment, ensuring all solutions adhere to organizational standards and risk management practices. Serve as the primary client interface for technical leadership, solution assurance, and delivery success. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Collaborate with cross-functional teams to rapidly prototype and iterate on solutions Deploy and manage applications and models in cloud environments leveraging infrastructure-as-code and DevOps best practices. What You Will Need: Bachelor's degree is required Minimum SEVEN (7) years of experience delivering AI, software, or data-driven solutions, Minimum TWO (2) years in a leadership or client-facing consulting role Hands-on experience designing or implementing Generative AI systems (e.g., knowledge assistants, automation workflows, or retrieval-based reasoning) in cloud environments (e.g. Azure, Amazon Web Services) Experience with key Generative AI system patterns, such as: RAG (Retrieval-Augmented Generation) and retrieval-based reasoning systems Agentic frameworks (e.g., orchestrated multi-step reasoning, tool-using AI agents) Evaluation and observability frameworks (e.g., LLM/human evals, prompt testing, reliability scoring) Model monitoring and retraining pipelines Proficiency in Python and experience developing applications or pipelines that integrate AI/LLMs via APIs or SDKs (e.g. LangChain, LangGraph or similar) Strong understanding of AI architecture, data integration, and model lifecycle management Demonstrated experience leading teams using Agile and DevOps delivery practices, including sprint management, CI/CD, and iterative prototyping Excellent communication, stakeholder engagement, and problem-solving skills What Would Be Nice To Have: Master's degree Experience designing or deploying solutions with Amazon Bedrock, SageMaker, or other AWS AI services Understanding of AI governance and risk management frameworks Experience supporting clients in regulated or complex environments (e.g., energy, infrastructure, public sector) The annual salary range for this position is $118,000.00-$196,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain SecretWhat You Will Do: We are looking for a hands-on software engineer with deep knowledge of Microsoft Power Apps, including basic Microsoft Dynamics 365 understanding. An expert on Power Apps to design, configure and develop custom solutions in Microsoft Power platform. The candidate will take an active role in supporting and building on the MPP application. The candidate will have excellent presentation, communication, leadership, and client development skills to effectively present information to C-level management, public groups, and/or the board of directors. The candidate should have excellent organizational and multi-tasking skills, attention to quality, self-motivation and a strong desire to succeed. Responsibilities: Drive Microsoft Power Platform implementations through all project phases including discovery, definition, build, test, and deploy Identify the client's sales, marketing, and customer service requirements through discovery meetings Delivering services and solutions for clients using Microsoft's PowerApps, Power BI, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations Provide hands-on technical expertise to design and implement Power Platform based solutions satisfying customer requirements. Conduct end-user training and create and maintain knowledge transfer documentation Automate business processes with Power Apps and Power Automate; outputs will include data visualization and low code applications Develop and continue to refine Power Platform implementation standards and tools Present tailored demonstrations of the technology solution Responsible for high quality, bug-free development as per the coding standards in close collaboration and interaction with other members of the development/QA team Participate in daily project scrum meetings and provide a daily personal status report Collaborate with stakeholders and project team members to design and implement the enterprise Microsoft Dynamics solution ensuring high quality, reliable Serve as Microsoft Power Platform Subject Matter Expert (SME), with technical expertise including system architecture, solution design, system configuration, and security management Help create design documentation for new solutions and functions Work with the support team to resolve production support issues Will be proactive in staying up to date on the latest updates to the Power Platform, as well as future roadmap features announced in Microsoft's wave plans What You Will Need: Must have a minimum of THREE (3) years of Microsoft Power Platform or Dynamics 365 CRM development experience Must be able to work in a hybrid environment (up to 3x/week onsite for clients in the DC Metro Area) Must be able to obtain a Secret clearance Must have a Bachelor's degree (4yr college degree) Hands-on experience with SharePoint 2013 or newer to include both on-premise and SharePoint Online, SharePoint Designer to include creating custom workflow solutions, and PowerApps / Power Automate (M365 Suite of Products) Experience in designing complex common data models Intermediate to advanced knowledge of relational database concepts Experience in using OOTB connectors for Power Apps and Power Automate Experience in design and development of Canvas and Model-driven Power Apps by utilizing Microsoft Dataverse, SharePoint, or other databases as the backend data storage model Knowledge and experience with writing technical requirements, test scripts and knowledge of software programming languages and technologies. Experience in a Software as a Service (SaaS) environment Experience customizing SharePoint lists and disparate systems with PowerApps Experience developing PowerApps model Ability to communicate technical information clearly and concisely to technical and nontechnical users Ability to initiate majority of relevant tasks, specify and plan activities for task accomplishments and notify supervisor of variances. Prior experience working in a non- governmental organization (NGO) Hands-on experience with Power Apps and Power Platform technical solutions Work experience with Software as a Service (SaaS) and/or Platform as a Service (PaaS) environments Core Skills: C#, SQL, .Net, Power Apps, SharePoint, Microsoft DataVerse (CDS), Power Automate Experience with and a good understanding of the Power Platform CoE and governance components What Would Be Nice To Have: Active Secret clearance Experience in “Big 4” or equivalent established consulting firm and/or Microsoft Gold partner highly desired BA/BS degree in Business, Computer Science or Engineering Experience with public sector clients preferred Experience with Agile or Hybrid-Agile methodology The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Secret What You Will Do: Guidehouse is looking for a highly skilled Power Platform Architect who can translate complex business requirements into scalable, high-performance Power Apps solutions. As an Architect, you will work with the technical team to design and deliver the case management solution within a given time, identify risks and mitigate the risk during the design phase. You will be responsible for high-quality projects. You will work with the client, PM, and BA and streamline the communication between teams. Collaborate with stakeholders to understand business needs and develop technical solutions using the Power Platform. Lead the design and architecture of Power Apps solutions, including canvas apps, model-driven apps, and custom connectors. Define technical standards, best practices, and guidelines for Power Apps development within the organization. Provide technical leadership and mentorship to a team of developers and Power Platform specialists. Conduct architecture reviews, code reviews, and performance optimization for Power Apps solutions. Design integrations between Power Apps, Microsoft 365 services, third-party applications, and data sources. Oversee the implementation and deployment of Power Apps solutions while ensuring scalability, security, and maintainability. Collaborate with cross-functional teams to ensure alignment of solutions with overall business objectives and IT strategy. Stay updated on the latest advancements in the Power Platform and evaluate their applicability to the organization. What You Will Need: Minimum of SEVEN (7) years of experience as a Power Platform Architect or similar role, with a strong track record of architecting and implementing complex solutions using the Power Platform Minimum degree: US equivalent Bachelor's Degree Selected candidate must be able to obtain a Secret clearance Selected candidate must be able to work in a hybrid environment (up to 3x/week onsite) Extensive expertise in Power Apps, Power Pages, Power Automate, Dataverse, Common Data Service (CDS), and other components of the Power Platform In-depth understanding of Microsoft Azure services, SharePoint, Dynamics 365, and related technologies Strong leadership and communication skills to effectively collaborate with stakeholders and lead technical teams Ability to translate business requirements into technical architecture and design documents Experience with data modeling, security configurations, and performance tuning in Power Apps Core Skills: C#, SQL, .Net, D365, CRM SDK, CRM Plugins, PowerApps, Power BI, & Power Automate (formally known as Flow) What Would Be Nice To Have: An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance Experience in “Big 4” or equivalent established consulting firm and/or Microsoft Gold partner highly desired BA/BS degree in Business, Computer Science or Engineering Experience with public sector clients preferred Experience with Agile or Hybrid-Agile methodology The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: SAAS/PAAS/Cloud Consulting Travel Required: Up to 25% Clearance Required: NoneWhat You Will Do: We are looking for a hands-on software engineer with deep knowledge of Microsoft Power Apps, including basic Microsoft Dynamics 365 understanding. An expert on Power Apps to design, configure and develop custom solutions in Microsoft Power platform. The candidate will take an active role in supporting and building on the MPP application. The candidate will have excellent presentation, communication, leadership, and client development skills to effectively present information to C-level management, public groups, and/or the board of directors. The candidate should have excellent organizational and multi-tasking skills, attention to quality, self-motivation and a strong desire to succeed. Responsibilities: Drive Microsoft Power Platform implementations through all project phases including discovery, definition, build, test, and deploy Identify the client's sales, marketing, and customer service requirements through discovery meetings Delivering services and solutions for clients using Microsoft's PowerApps, Power BI, SharePoint, Power Automate, Microsoft Teams, custom development, and data integrations Provide hands-on technical expertise to design and implement Power Platform based solutions satisfying customer requirements. Conduct end-user training and create and maintain knowledge transfer documentation Automate business processes with Power Apps and Power Automate; outputs will include data visualization and low code applications Develop and continue to refine Power Platform implementation standards and tools Present tailored demonstrations of the technology solution Responsible for high quality, bug-free development as per the coding standards in close collaboration and interaction with other members of the development/QA team Participate in daily project scrum meetings and provide a daily personal status report Collaborate with stakeholders and project team members to design and implement the enterprise Microsoft Dynamics solution ensuring high quality, reliable Serve as Microsoft Power Platform Subject Matter Expert (SME), with technical expertise including system architecture, solution design, system configuration, and security management Help create design documentation for new solutions and functions Work with the support team to resolve production support issues Will be proactive in staying up to date on the latest updates to the Power Platform, as well as future roadmap features announced in Microsoft's wave plans What You Will Need: Must have a minimum of FIVE (5) years of Microsoft Power Platform or Dynamics 365 CRM development experience Selected Candidate must be able to commute onsite to the client as needed US Citizenship is contractually required Must have a Bachelor's degree (4yr college degree) Hands-on experience with SharePoint 2013 or newer to include both on-premise and SharePoint Online, SharePoint Designer to include creating custom workflow solutions, and PowerApps / Power Automate (M365 Suite of Products) Experience in designing complex common data models Intermediate to advanced knowledge of relational database concepts Experience in using OOTB connectors for Power Apps and Power Automate Experience in design and development of Canvas and Model-driven Power Apps by utilizing Microsoft Dataverse, SharePoint, or other databases as the backend data storage model Knowledge and experience with writing technical requirements, test scripts and knowledge of software programming languages and technologies. Experience in a Software as a Service (SaaS) environment Experience customizing SharePoint lists and disparate systems with PowerApps Experience developing PowerApps model Ability to communicate technical information clearly and concisely to technical and nontechnical users Ability to initiate majority of relevant tasks, specify and plan activities for task accomplishments and notify supervisor of variances. Prior experience working in a non- governmental organization (NGO) Hands-on experience with Power Apps and Power Platform technical solutions Work experience with Software as a Service (SaaS) and/or Platform as a Service (PaaS) environments Core Skills: C#, SQL, .Net, Power Apps, SharePoint, Microsoft DataVerse (CDS), Power Automate Experience with and a good understanding of the Power Platform CoE and governance components What Would Be Nice To Have: Experience in “Big 4” or equivalent established consulting firm and/or Microsoft Gold partner highly desired BA/BS degree in Business, Computer Science or Engineering Experience with public sector clients preferred Experience with Agile or Hybrid-Agile methodology What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: None Clearance Required: None What You Will Do Support Palantir Foundry Application Development: Work closely with Subject Matter Experts (SMEs) to design and develop full stack application using Palantir Foundry's platform. Work on both frontend and backend components, ensuring seamless integration and functionality. Improve on application User Interface and visualization design. Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate). Developing interactive workflow UIs. Develop ability to build/ access data versions within the tool as necessary to enable analytics. Develop writeback functionality into the tool as needed. Implement data visualizations using Foundry Tools (Quiver and Contour) and/or Power BI as necessary. Maintain applications as usage grows and requirements changes Support Data Integration and Management: Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications primarily within the Foundry data management & development platform. Collaborate with Data Engineering Team to understand the ontology (data model) and data pipelines supporting the applications. Support End to End data pipeline development - responsible for using Python and Pyspark to perform ETL and derive new datasets necessary for business applications. Support designing and building for high-scale data intensive workflows Support Testing and Quality Assurance Perform data validations and analysis, use PyTest to create and implement unit test for one time or automated test embedded within a pipeline. Implement Foundry Expectations within Foundry Health checks to implement automated validations for build freshness, data freshness, primary key, schema check, but also more complex data validation that should require a build to be aborted or a warning notification. Monitor and debug critical issues such as data staleness or data quality. Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Debug and resolve issues reported by users or identified through testing. What You Will Need Bachelor's Degree is required Minimum THREE (3) years of prior relevant experience Experience in Palantir Foundry expertise, supporting full stack development services Experience in developing data pipelines using Python/PySpark Experience in advance data science or analytics expertise, using a variety of technical platforms and open-source programming technologies Ability to design and deliver solutions with autonomy, working collaboratively as part of a team Strong communication/presentation skills and ability to explain technical topics to non-technical audiences Strong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forward What Would Be Nice to Have Master's Degree Demonstrated work experience supporting Federal Civilian, State and Local Government, or Energy Provider clients Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics / data engineering The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking a AI Development Lead to drive the design, development, and delivery of AI solutions, especially Generative AI, for clients modernizing their operations through intelligent automation. This hands-on leader will guide agile teams in developing AI-enabled Minimum Viable Products (MVPs) while advising on architecture, deployment, and governance strategies. The ideal candidate blends strong technical depth in modern AI tools with consulting experience, ensuring that emerging technologies deliver measurable value for clients. AI Delivery Leadership Lead the end-to-end delivery of AI MVPs, from use case definition through demonstration and iteration, including engaging directly with clients. Design solution architectures and technical roadmaps that integrate AI components within client cloud environments. Oversee model development, validation, and user interface integration to create functional prototypes. Deliver MVP demonstrations, gather stakeholder feedback, and refine solutions through post-deployment feedback loops. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Agile Development & Team Enablement Lead agile development sprints and facilitate SCRUM ceremonies to ensure quality, velocity, and stakeholder alignment. Mentor developers and data scientists, fostering collaboration and excellence in applied AI engineering. Support backlog management, sprint prioritization, and delivery tracking across multidisciplinary teams. Generative AI & Technical Advisory Apply Generative AI and Large Language Model (LLM) techniques to automate, analyze, and enhance compliance and operational workflows. Evaluate and refine prompt engineering and context enrichment strategies for AI-based applications. Assess and optimize existing AI toolchains and workflows to improve scalability and delivery efficiency. Advise on production deployment strategies, including security, performance, and data integration considerations. Conduct operational readiness assessments to evaluate solution performance, resilience, and maintainability. Design lightweight model monitoring and retraining pipelines to maintain relevance and accuracy. Support AI governance alignment, ensuring all solutions adhere to organizational standards and risk management practices. Serve as the primary client interface for technical leadership, solution assurance, and delivery success. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Collaborate with cross-functional teams to rapidly prototype and iterate on solutions Deploy and manage applications and models in cloud environments leveraging infrastructure-as-code and DevOps best practices. What You Will Need: Bachelor's degree is required Minimum SEVEN (7) years of experience delivering AI, software, or data-driven solutions, Minimum TWO (2) years in a leadership or client-facing consulting role Hands-on experience designing or implementing Generative AI systems (e.g., knowledge assistants, automation workflows, or retrieval-based reasoning) in cloud environments (e.g. Azure, Amazon Web Services) Experience with key Generative AI system patterns, such as: RAG (Retrieval-Augmented Generation) and retrieval-based reasoning systems Agentic frameworks (e.g., orchestrated multi-step reasoning, tool-using AI agents) Evaluation and observability frameworks (e.g., LLM/human evals, prompt testing, reliability scoring) Model monitoring and retraining pipelines Proficiency in Python and experience developing applications or pipelines that integrate AI/LLMs via APIs or SDKs (e.g. LangChain, LangGraph or similar) Strong understanding of AI architecture, data integration, and model lifecycle management Demonstrated experience leading teams using Agile and DevOps delivery practices, including sprint management, CI/CD, and iterative prototyping Excellent communication, stakeholder engagement, and problem-solving skills What Would Be Nice To Have: Master's degree Experience designing or deploying solutions with Amazon Bedrock, SageMaker, or other AWS AI services Understanding of AI governance and risk management frameworks Experience supporting clients in regulated or complex environments (e.g., energy, infrastructure, public sector) The annual salary range for this position is $118,000.00-$196,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking a AI Development Lead to drive the design, development, and delivery of AI solutions, especially Generative AI, for clients modernizing their operations through intelligent automation. This hands-on leader will guide agile teams in developing AI-enabled Minimum Viable Products (MVPs) while advising on architecture, deployment, and governance strategies. The ideal candidate blends strong technical depth in modern AI tools with consulting experience, ensuring that emerging technologies deliver measurable value for clients. AI Delivery Leadership Lead the end-to-end delivery of AI MVPs, from use case definition through demonstration and iteration, including engaging directly with clients. Design solution architectures and technical roadmaps that integrate AI components within client cloud environments. Oversee model development, validation, and user interface integration to create functional prototypes. Deliver MVP demonstrations, gather stakeholder feedback, and refine solutions through post-deployment feedback loops. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Agile Development & Team Enablement Lead agile development sprints and facilitate SCRUM ceremonies to ensure quality, velocity, and stakeholder alignment. Mentor developers and data scientists, fostering collaboration and excellence in applied AI engineering. Support backlog management, sprint prioritization, and delivery tracking across multidisciplinary teams. Generative AI & Technical Advisory Apply Generative AI and Large Language Model (LLM) techniques to automate, analyze, and enhance compliance and operational workflows. Evaluate and refine prompt engineering and context enrichment strategies for AI-based applications. Assess and optimize existing AI toolchains and workflows to improve scalability and delivery efficiency. Advise on production deployment strategies, including security, performance, and data integration considerations. Conduct operational readiness assessments to evaluate solution performance, resilience, and maintainability. Design lightweight model monitoring and retraining pipelines to maintain relevance and accuracy. Support AI governance alignment, ensuring all solutions adhere to organizational standards and risk management practices. Serve as the primary client interface for technical leadership, solution assurance, and delivery success. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Collaborate with cross-functional teams to rapidly prototype and iterate on solutions Deploy and manage applications and models in cloud environments leveraging infrastructure-as-code and DevOps best practices. What You Will Need: Bachelor's degree is required Minimum SEVEN (7) years of experience delivering AI, software, or data-driven solutions, Minimum TWO (2) years in a leadership or client-facing consulting role Hands-on experience designing or implementing Generative AI systems (e.g., knowledge assistants, automation workflows, or retrieval-based reasoning) in cloud environments (e.g. Azure, Amazon Web Services) Experience with key Generative AI system patterns, such as: RAG (Retrieval-Augmented Generation) and retrieval-based reasoning systems Agentic frameworks (e.g., orchestrated multi-step reasoning, tool-using AI agents) Evaluation and observability frameworks (e.g., LLM/human evals, prompt testing, reliability scoring) Model monitoring and retraining pipelines Proficiency in Python and experience developing applications or pipelines that integrate AI/LLMs via APIs or SDKs (e.g. LangChain, LangGraph or similar) Strong understanding of AI architecture, data integration, and model lifecycle management Demonstrated experience leading teams using Agile and DevOps delivery practices, including sprint management, CI/CD, and iterative prototyping Excellent communication, stakeholder engagement, and problem-solving skills What Would Be Nice To Have: Master's degree Experience designing or deploying solutions with Amazon Bedrock, SageMaker, or other AWS AI services Understanding of AI governance and risk management frameworks Experience supporting clients in regulated or complex environments (e.g., energy, infrastructure, public sector) The annual salary range for this position is $118,000.00-$196,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking a AI Development Lead to drive the design, development, and delivery of AI solutions, especially Generative AI, for clients modernizing their operations through intelligent automation. This hands-on leader will guide agile teams in developing AI-enabled Minimum Viable Products (MVPs) while advising on architecture, deployment, and governance strategies. The ideal candidate blends strong technical depth in modern AI tools with consulting experience, ensuring that emerging technologies deliver measurable value for clients. AI Delivery Leadership Lead the end-to-end delivery of AI MVPs, from use case definition through demonstration and iteration, including engaging directly with clients. Design solution architectures and technical roadmaps that integrate AI components within client cloud environments. Oversee model development, validation, and user interface integration to create functional prototypes. Deliver MVP demonstrations, gather stakeholder feedback, and refine solutions through post-deployment feedback loops. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Agile Development & Team Enablement Lead agile development sprints and facilitate SCRUM ceremonies to ensure quality, velocity, and stakeholder alignment. Mentor developers and data scientists, fostering collaboration and excellence in applied AI engineering. Support backlog management, sprint prioritization, and delivery tracking across multidisciplinary teams. Generative AI & Technical Advisory Apply Generative AI and Large Language Model (LLM) techniques to automate, analyze, and enhance compliance and operational workflows. Evaluate and refine prompt engineering and context enrichment strategies for AI-based applications. Assess and optimize existing AI toolchains and workflows to improve scalability and delivery efficiency. Advise on production deployment strategies, including security, performance, and data integration considerations. Conduct operational readiness assessments to evaluate solution performance, resilience, and maintainability. Design lightweight model monitoring and retraining pipelines to maintain relevance and accuracy. Support AI governance alignment, ensuring all solutions adhere to organizational standards and risk management practices. Serve as the primary client interface for technical leadership, solution assurance, and delivery success. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Collaborate with cross-functional teams to rapidly prototype and iterate on solutions Deploy and manage applications and models in cloud environments leveraging infrastructure-as-code and DevOps best practices. What You Will Need: Bachelor's degree is required Minimum SEVEN (7) years of experience delivering AI, software, or data-driven solutions, Minimum TWO (2) years in a leadership or client-facing consulting role Hands-on experience designing or implementing Generative AI systems (e.g., knowledge assistants, automation workflows, or retrieval-based reasoning) in cloud environments (e.g. Azure, Amazon Web Services) Experience with key Generative AI system patterns, such as: RAG (Retrieval-Augmented Generation) and retrieval-based reasoning systems Agentic frameworks (e.g., orchestrated multi-step reasoning, tool-using AI agents) Evaluation and observability frameworks (e.g., LLM/human evals, prompt testing, reliability scoring) Model monitoring and retraining pipelines Proficiency in Python and experience developing applications or pipelines that integrate AI/LLMs via APIs or SDKs (e.g. LangChain, LangGraph or similar) Strong understanding of AI architecture, data integration, and model lifecycle management Demonstrated experience leading teams using Agile and DevOps delivery practices, including sprint management, CI/CD, and iterative prototyping Excellent communication, stakeholder engagement, and problem-solving skills What Would Be Nice To Have: Master's degree Experience designing or deploying solutions with Amazon Bedrock, SageMaker, or other AWS AI services Understanding of AI governance and risk management frameworks Experience supporting clients in regulated or complex environments (e.g., energy, infrastructure, public sector) The annual salary range for this position is $118,000.00-$196,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking a AI Development Lead to drive the design, development, and delivery of AI solutions, especially Generative AI, for clients modernizing their operations through intelligent automation. This hands-on leader will guide agile teams in developing AI-enabled Minimum Viable Products (MVPs) while advising on architecture, deployment, and governance strategies. The ideal candidate blends strong technical depth in modern AI tools with consulting experience, ensuring that emerging technologies deliver measurable value for clients. AI Delivery Leadership Lead the end-to-end delivery of AI MVPs, from use case definition through demonstration and iteration, including engaging directly with clients. Design solution architectures and technical roadmaps that integrate AI components within client cloud environments. Oversee model development, validation, and user interface integration to create functional prototypes. Deliver MVP demonstrations, gather stakeholder feedback, and refine solutions through post-deployment feedback loops. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Agile Development & Team Enablement Lead agile development sprints and facilitate SCRUM ceremonies to ensure quality, velocity, and stakeholder alignment. Mentor developers and data scientists, fostering collaboration and excellence in applied AI engineering. Support backlog management, sprint prioritization, and delivery tracking across multidisciplinary teams. Generative AI & Technical Advisory Apply Generative AI and Large Language Model (LLM) techniques to automate, analyze, and enhance compliance and operational workflows. Evaluate and refine prompt engineering and context enrichment strategies for AI-based applications. Assess and optimize existing AI toolchains and workflows to improve scalability and delivery efficiency. Advise on production deployment strategies, including security, performance, and data integration considerations. Conduct operational readiness assessments to evaluate solution performance, resilience, and maintainability. Design lightweight model monitoring and retraining pipelines to maintain relevance and accuracy. Support AI governance alignment, ensuring all solutions adhere to organizational standards and risk management practices. Serve as the primary client interface for technical leadership, solution assurance, and delivery success. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Collaborate with cross-functional teams to rapidly prototype and iterate on solutions Deploy and manage applications and models in cloud environments leveraging infrastructure-as-code and DevOps best practices. What You Will Need: Bachelor's degree is required Minimum SEVEN (7) years of experience delivering AI, software, or data-driven solutions, Minimum TWO (2) years in a leadership or client-facing consulting role Hands-on experience designing or implementing Generative AI systems (e.g., knowledge assistants, automation workflows, or retrieval-based reasoning) in cloud environments (e.g. Azure, Amazon Web Services) Experience with key Generative AI system patterns, such as: RAG (Retrieval-Augmented Generation) and retrieval-based reasoning systems Agentic frameworks (e.g., orchestrated multi-step reasoning, tool-using AI agents) Evaluation and observability frameworks (e.g., LLM/human evals, prompt testing, reliability scoring) Model monitoring and retraining pipelines Proficiency in Python and experience developing applications or pipelines that integrate AI/LLMs via APIs or SDKs (e.g. LangChain, LangGraph or similar) Strong understanding of AI architecture, data integration, and model lifecycle management Demonstrated experience leading teams using Agile and DevOps delivery practices, including sprint management, CI/CD, and iterative prototyping Excellent communication, stakeholder engagement, and problem-solving skills What Would Be Nice To Have: Master's degree Experience designing or deploying solutions with Amazon Bedrock, SageMaker, or other AWS AI services Understanding of AI governance and risk management frameworks Experience supporting clients in regulated or complex environments (e.g., energy, infrastructure, public sector) The annual salary range for this position is $118,000.00-$196,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking a AI Development Lead to drive the design, development, and delivery of AI solutions, especially Generative AI, for clients modernizing their operations through intelligent automation. This hands-on leader will guide agile teams in developing AI-enabled Minimum Viable Products (MVPs) while advising on architecture, deployment, and governance strategies. The ideal candidate blends strong technical depth in modern AI tools with consulting experience, ensuring that emerging technologies deliver measurable value for clients. AI Delivery Leadership Lead the end-to-end delivery of AI MVPs, from use case definition through demonstration and iteration, including engaging directly with clients. Design solution architectures and technical roadmaps that integrate AI components within client cloud environments. Oversee model development, validation, and user interface integration to create functional prototypes. Deliver MVP demonstrations, gather stakeholder feedback, and refine solutions through post-deployment feedback loops. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Agile Development & Team Enablement Lead agile development sprints and facilitate SCRUM ceremonies to ensure quality, velocity, and stakeholder alignment. Mentor developers and data scientists, fostering collaboration and excellence in applied AI engineering. Support backlog management, sprint prioritization, and delivery tracking across multidisciplinary teams. Generative AI & Technical Advisory Apply Generative AI and Large Language Model (LLM) techniques to automate, analyze, and enhance compliance and operational workflows. Evaluate and refine prompt engineering and context enrichment strategies for AI-based applications. Assess and optimize existing AI toolchains and workflows to improve scalability and delivery efficiency. Advise on production deployment strategies, including security, performance, and data integration considerations. Conduct operational readiness assessments to evaluate solution performance, resilience, and maintainability. Design lightweight model monitoring and retraining pipelines to maintain relevance and accuracy. Support AI governance alignment, ensuring all solutions adhere to organizational standards and risk management practices. Serve as the primary client interface for technical leadership, solution assurance, and delivery success. Construct and maintain scalable data pipelines for processing, transforming, and feeding data into AI models and applications. Collaborate with cross-functional teams to rapidly prototype and iterate on solutions Deploy and manage applications and models in cloud environments leveraging infrastructure-as-code and DevOps best practices. What You Will Need: Bachelor's degree is required Minimum SEVEN (7) years of experience delivering AI, software, or data-driven solutions, Minimum TWO (2) years in a leadership or client-facing consulting role Hands-on experience designing or implementing Generative AI systems (e.g., knowledge assistants, automation workflows, or retrieval-based reasoning) in cloud environments (e.g. Azure, Amazon Web Services) Experience with key Generative AI system patterns, such as: RAG (Retrieval-Augmented Generation) and retrieval-based reasoning systems Agentic frameworks (e.g., orchestrated multi-step reasoning, tool-using AI agents) Evaluation and observability frameworks (e.g., LLM/human evals, prompt testing, reliability scoring) Model monitoring and retraining pipelines Proficiency in Python and experience developing applications or pipelines that integrate AI/LLMs via APIs or SDKs (e.g. LangChain, LangGraph or similar) Strong understanding of AI architecture, data integration, and model lifecycle management Demonstrated experience leading teams using Agile and DevOps delivery practices, including sprint management, CI/CD, and iterative prototyping Excellent communication, stakeholder engagement, and problem-solving skills What Would Be Nice To Have: Master's degree Experience designing or deploying solutions with Amazon Bedrock, SageMaker, or other AWS AI services Understanding of AI governance and risk management frameworks Experience supporting clients in regulated or complex environments (e.g., energy, infrastructure, public sector) The annual salary range for this position is $118,000.00-$196,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: None Clearance Required: None What You Will Do Support Palantir Foundry Application Development: Work closely with Subject Matter Experts (SMEs) to design and develop full stack application using Palantir Foundry's platform. Work on both frontend and backend components, ensuring seamless integration and functionality. Improve on application User Interface and visualization design. Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate). Developing interactive workflow UIs. Develop ability to build/ access data versions within the tool as necessary to enable analytics. Develop writeback functionality into the tool as needed. Implement data visualizations using Foundry Tools (Quiver and Contour) and/or Power BI as necessary. Maintain applications as usage grows and requirements changes Support Data Integration and Management: Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications primarily within the Foundry data management & development platform. Collaborate with Data Engineering Team to understand the ontology (data model) and data pipelines supporting the applications. Support End to End data pipeline development - responsible for using Python and Pyspark to perform ETL and derive new datasets necessary for business applications. Support designing and building for high-scale data intensive workflows Support Testing and Quality Assurance Perform data validations and analysis, use PyTest to create and implement unit test for one time or automated test embedded within a pipeline. Implement Foundry Expectations within Foundry Health checks to implement automated validations for build freshness, data freshness, primary key, schema check, but also more complex data validation that should require a build to be aborted or a warning notification. Monitor and debug critical issues such as data staleness or data quality. Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Debug and resolve issues reported by users or identified through testing. What You Will Need Bachelor's Degree is required Minimum THREE (3) years of prior relevant experience Experience in Palantir Foundry expertise, supporting full stack development services Experience in developing data pipelines using Python/PySpark Experience in advance data science or analytics expertise, using a variety of technical platforms and open-source programming technologies Ability to design and deliver solutions with autonomy, working collaboratively as part of a team Strong communication/presentation skills and ability to explain technical topics to non-technical audiences Strong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forward What Would Be Nice to Have Master's Degree Demonstrated work experience supporting Federal Civilian, State and Local Government, or Energy Provider clients Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics / data engineering The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: None Clearance Required: None What You Will Do Support Palantir Foundry Application Development: Work closely with Subject Matter Experts (SMEs) to design and develop full stack application using Palantir Foundry's platform. Work on both frontend and backend components, ensuring seamless integration and functionality. Improve on application User Interface and visualization design. Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate). Developing interactive workflow UIs. Develop ability to build/ access data versions within the tool as necessary to enable analytics. Develop writeback functionality into the tool as needed. Implement data visualizations using Foundry Tools (Quiver and Contour) and/or Power BI as necessary. Maintain applications as usage grows and requirements changes Support Data Integration and Management: Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications primarily within the Foundry data management & development platform. Collaborate with Data Engineering Team to understand the ontology (data model) and data pipelines supporting the applications. Support End to End data pipeline development - responsible for using Python and Pyspark to perform ETL and derive new datasets necessary for business applications. Support designing and building for high-scale data intensive workflows Support Testing and Quality Assurance Perform data validations and analysis, use PyTest to create and implement unit test for one time or automated test embedded within a pipeline. Implement Foundry Expectations within Foundry Health checks to implement automated validations for build freshness, data freshness, primary key, schema check, but also more complex data validation that should require a build to be aborted or a warning notification. Monitor and debug critical issues such as data staleness or data quality. Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Debug and resolve issues reported by users or identified through testing. What You Will Need Bachelor's Degree is required Minimum THREE (3) years of prior relevant experience Experience in Palantir Foundry expertise, supporting full stack development services Experience in developing data pipelines using Python/PySpark Experience in advance data science or analytics expertise, using a variety of technical platforms and open-source programming technologies Ability to design and deliver solutions with autonomy, working collaboratively as part of a team Strong communication/presentation skills and ability to explain technical topics to non-technical audiences Strong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forward What Would Be Nice to Have Master's Degree Demonstrated work experience supporting Federal Civilian, State and Local Government, or Energy Provider clients Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics / data engineering The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: None Clearance Required: None What You Will Do Support Palantir Foundry Application Development: Work closely with Subject Matter Experts (SMEs) to design and develop full stack application using Palantir Foundry's platform. Work on both frontend and backend components, ensuring seamless integration and functionality. Improve on application User Interface and visualization design. Implement operational applications using Foundry Tools (Workshop, Quiver, and Slate). Developing interactive workflow UIs. Develop ability to build/ access data versions within the tool as necessary to enable analytics. Develop writeback functionality into the tool as needed. Implement data visualizations using Foundry Tools (Quiver and Contour) and/or Power BI as necessary. Maintain applications as usage grows and requirements changes Support Data Integration and Management: Develop data pipelines using PySpark to create datasets, Foundry objects, and User Interface applications primarily within the Foundry data management & development platform. Collaborate with Data Engineering Team to understand the ontology (data model) and data pipelines supporting the applications. Support End to End data pipeline development - responsible for using Python and Pyspark to perform ETL and derive new datasets necessary for business applications. Support designing and building for high-scale data intensive workflows Support Testing and Quality Assurance Perform data validations and analysis, use PyTest to create and implement unit test for one time or automated test embedded within a pipeline. Implement Foundry Expectations within Foundry Health checks to implement automated validations for build freshness, data freshness, primary key, schema check, but also more complex data validation that should require a build to be aborted or a warning notification. Monitor and debug critical issues such as data staleness or data quality. Develop and execute unit tests, integration tests, and end-to-end tests to ensure software quality. Debug and resolve issues reported by users or identified through testing. What You Will Need Bachelor's Degree is required Minimum THREE (3) years of prior relevant experience Experience in Palantir Foundry expertise, supporting full stack development services Experience in developing data pipelines using Python/PySpark Experience in advance data science or analytics expertise, using a variety of technical platforms and open-source programming technologies Ability to design and deliver solutions with autonomy, working collaboratively as part of a team Strong communication/presentation skills and ability to explain technical topics to non-technical audiences Strong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forward What Would Be Nice to Have Master's Degree Demonstrated work experience supporting Federal Civilian, State and Local Government, or Energy Provider clients Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics / data engineering The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking an experienced Data Engineer to join our Technology AI and Data practice within the Defense & Security segment. This individual will have a strong data engineering background and be a hands-on technical contributor, responsible for designing, implementing, and maintaining scalable, cloud-native data pipelines which power interactive dashboards that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is an exciting opportunity for someone who thrives at the intersection of data engineering, Google Cloud technologies, and public sector modernization. The Data Engineer will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable BigQuery-centric data pipelines using Dataform and Python, and support advanced analytics initiatives for our federal client within the insurance space. Client Leadership & Delivery Collaborate with government clients to understand enterprise data architecture, ingestion, transformation, and reporting requirements within a Google Cloud Platform (GCP) environment. Communicate technical designs, tradeoffs, and delivery timelines clearly to both technical and non-technical audiences. Lead the development of extract-transform-load (ETL) and extract-load-transform (ELT) pipelines using Cloud Composer (GCP hosted Airflow), Dataform, and BigQuery to support our analytical data warehouse powering downstream Looker dashboards. Adhere to high-quality delivery standards and promote measurable outcomes across data migration and visualization efforts. Solution Development & Innovation Design, develop, and maintain scalable ETL/ELT pipelines using SQL (BigQuery), Dataform (SQLX), Cloud Storage, and Python (Cloud Composer/Airflow, Cloud Functions). Apply modern ELT/ETL and analytics engineering practices using BigQuery and Dataform to enable version-controlled, testable, and maintainable data transformations. Leverage tools such as Gitlab and Github to manage version control, merge requests, and promotion pipelines. Optimize data pipelines and warehouse performance for large-scale analytical workloads, including partitioning, clustering, incremental processing, and cost optimization to enable downstream BI utilizing Looker. Validate compliance with federal data governance, security, and performance standards. Design and document enterprise data models, metadata strategies, data lineage frameworks, and other relevant documentation, as needed. Align data from multiple discrete datasets into a cohesive, interoperable architecture, identifying opportunities for linkages between datasets, normalization, field standardization, etc. Assist with cleanup of existing data and models, including use of ETL. Practice & Team Leadership Work closely with data architects, data scientists, data analysts, and cloud engineers to deliver integrated solutions. Collaborate across Scaled Agile Framework (SAFe) teams and participate in Agile ceremonies including standups, retrospectives, and Program Increment (PI) planning. Manage tasks and consistently document progress and outcomes using Confluence and Jira. Support documentation, testing, and deployment of data products. Mentor junior team members and contribute to reusable frameworks and accelerators. Contribute to thought leadership, business development, and best practice development across the AI & Data team. What You Will Need: US Citizenship and the ability to obtain and maintain a federal Public Trust clearance. Individuals with an active Public Trust clearance are preferred. Bachelor's degree in computer science, engineering, mathematics, statistics, or a related technical field. Minimum One (1) to Five (5) years of experience in data engineering within cloud environments. Strong proficiency in SQL for data modeling and data quality tests and Python for pipeline design. Comfortable with the command line in Linux for git, deploying code to the cloud, and interacting with cloud files. Experience with orchestration tools including but not limited to Cloud Composer (Airflow), Luigi, Prefect, Dagster, etc. Experience with modern analytics engineering toolsets (dbt, Dataform, Databricks, etc.) and familiarity with best practices and methodologies behind the tools (data lineage, dependency graphs, tags, data quality tests, etc.). Proven experience with business intelligence tools and cloud platforms (AWS, Azure, GCP). Familiarity with CI/CD practices, principles, and tools such as Gitlab, separation of environments, and idempotency as it relates to data pipelines. Experience building ETL/ELT pipelines and integrating data sources into reporting platforms. Familiarity with data governance, metadata, and compliance frameworks. Excellent communication, facilitation, and stakeholder engagement skills. What Would Be Nice To Have: Master's degree in computer science, engineering, mathematics, statistics, or a related technical field. Experience in data engineering within cloud environments. Familiarity with machine learning (ML) and optimal data configurations to support model workloads. Familiarity with Agile project management methodologies and Atlassian toolsets (Confluence, Jira). Understanding of data quality and data pipeline test procedures and best practices. Experience working within matrixed teams of data engineers, BI developers, and QA engineers. Experience implementing cloud data governance and data management tools such as Dataplex. Experience with serverless architectures including cloud functions. Experience with Javascript to support development in Dataform. Experience using LLM-based coding assistants such as Gemini Code Assist to automate and streamline software development tasks. Relevant GCP certifications such as GCP Professional Data Engineer, GCP Professional Cloud Architect, and GCP Professional ML Engineer. Experience working with public sector clients. Familiarity with federal contracting and procurement processes. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at ************** or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ************************. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact *************************. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

About the Role You will design and ship APIs, stand up automated test harnesses using xUnit and .NET Aspire, and help elevate test practices across the team. We are containerizing workloads and moving to Kubernetes (cloud target may be Azure and/or GCP), including migrating Azure Functions and Logic Apps into services. You will contribute as an engineer on an agile team-submitting PRs, participating in code reviews, and coaching teammates on test automation best practices. Responsibilities Design, develop, test, and deploy C#/.NET services and RESTful APIs. Build and maintain integration test suites and automated test harnesses using xUnit and .NET Aspire (focus on integration tests, not component testing). Contribute as an engineer on an agile team: submit PRs, participate in code reviews, pair/mob programming when helpful, and improve team testing discipline. Develop and run services in containers/Kubernetes (Docker images, health/readiness probes, configuration, resource management). Work within SAFe Agile using CI/CD best practices; ensure features meet clear, testable acceptance criteria. Partner with the Technical Product Owner and IT stakeholders to co-create acceptance criteria and raise overall reliability and quality signals. Support the migration of Azure Functions and Logic Apps to containerized services and modern service boundaries. Promote secure coding, observability, and quality gates across the team. Qualifications 5+ years in software engineering; 3+ years in C#/.NET, SQL, and REST APIs. Required Skills Strong experience with integration test automation using xUnit and running tests in CI. Hands-on containerized development and Kubernetes experience (cloud-agnostic; Azure/GCP experience welcome). 2+ years building PaaS applications on Azure preferred (AWS/GCP considered). Proven experience designing and developing systems (not solely DevOps/configuration/maintenance). Solid Git/PR workflows, distributed team collaboration, and clear technical communication. Experience with Postman, Swagger/OpenAPI, and common design patterns. Preferred Skills .NET Aspire (distributed app composition/orchestration, test harnessing, dashboards). Contract testing experience (Pact.io or similar tools). Kafka, Temporal (workflows), LaunchDarkly (feature flags), SonarQube (quality gates). Observability: OpenTelemetry, Application Insights, Prometheus/Grafana. Secure coding practices (OWASP), dependency scanning, SBOM.

We're rebuilding the internet's data layer for the AI era. Ketch runs systems that analyze billions of events and make millions of decisions every day, giving global brands real‑time intelligence and control over how data moves across their entire ecosystem. This requires infrastructure that can keep up with the speed, volume, and complexity of modern AI‑driven systems and deliver high‑integrity outcomes across billions of data interactions. We're a well‑funded Series B startup, backed by top‑tier investors and led by a team with multiple exits. We build fast, ship with ownership, and work directly with customers to solve their hardest data challenges. Why Us? The AI era is breaking every old assumption about data protection. Sensitive data moves faster, through more systems, with higher stakes. Traditional privacy and governance tools can't keep up. You'll help build the infrastructure that replaces them. Join us to engineer real‑time systems that actively safeguard personal data at massive scale. You'll design pipelines that classify and control data as it flows, services that react instantly to risk, and distributed systems that enforce user rights across hundreds of technologies. Your work ensures that companies can use data responsibly and that individuals retain control over how their data is collected and used. Role Overview As a Backend Engineer at Ketch, you'll build reliable, scalable systems that make sense of messy, high‑stakes data flowing through databases, pipelines, SaaS tools, websites, and mobile apps. You'll build Go microservices that connect across an organization's entire stack, design APIs that support real‑time governance decisions, and help construct pipelines that classify and route data with speed, accuracy, and resilience. This is backend engineering where correctness matters, latency matters, and scale is real. You'll help create the APIs and data engines that support automated governance, power agentic intelligence, and enable companies to act on insights across their data ecosystem. This is a hybrid role based out of the San Francisco HQ 3 days a week. What You'll Own Build and evolve high‑performance Go microservices that process distributed data flows and support real‑time decisions. Develop clean, well‑versioned APIs and backend systems that orchestrate permissions, data directives, and automated actions across external systems. Design and implement distributed pipelines and event‑driven architectures that transform structured/unstructured data and feed downstream intelligence. Own the full lifecycle: design, implementation, deployment, monitoring, iteration. Apply resilience patterns (timeouts, retries, circuit breakers) to keep systems predictable under real‑world load. Drive performance improvements through concurrency tuning and efficient CPU/memory usage. Champion strong engineering foundations: CI/CD, testing, load evaluation, secure cloud deployment. Contribute to future architecture decisions such as service boundaries, data models, queue/stream strategy, and AI integration points. Collaborate with product and customers to translate requirements into elegant, scalable system designs. What We're Looking For Strong backend engineering foundation in Go or similar languages. Experience building APIs, distributed systems, or microservices in cloud‑native environments (AWS/GCP/Azure). Familiarity with databases/storage: Postgres, DynamoDB, ScyllaDB, Redis, Elasticsearch, etc. Understanding of distributed‑systems fundamentals: concurrency, queues/streams, transactions, event‑driven patterns. Experience with gRPC, REST, and service‑to‑service communication. Comfort with Kubernetes, containers, and core operational concerns (security, networking, resource management). Interest in modern AI/data tools (LLM APIs, embeddings, retrieval). Strong collaboration, curiosity, and a drive to build systems that quietly “just work” at massive scale. Degree in CS or equivalent practical experience building production systems. $160,000 - $200,000 a year The estimated base salary range for this position is $160,000 to $200,000, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs #J-18808-Ljbffr

A leading AI infrastructure provider based in San Francisco is looking for a Software Engineer to join its dynamic team. In this role, you will contribute to building core infrastructure and services necessary for AI workloads. Ideal candidates have 1-3 years of software development experience and proficiency in programming languages like Go, Python, or Rust. This in-office role offers the chance to work on challenging problems in a fast-paced environment while helping customers unlock the potential of AI in their operations. #J-18808-Ljbffr

About the Role We're looking for someone who genuinely loves building AI systems. Things like bots, knowledge bases, agentic workflows, RAG pipelines, and other intelligent tools. If you get excited about taking an idea and turning it into a real, working AI feature, you'll fit right in. The title mentions “Full Stack,” but to be clear: the heart of this job is AI engineering. You'll be the one designing and building the AI capabilities that power our platform, end to end. What You'll Work On (Primary Focus) AI Systems Development - You will architect, build, and deploy advanced AI capabilities, including: AI-powered bots and conversational assistants Knowledge base systems (RAG, embeddings, vector DBs, context management) Agentic systems with tool use, multi-step reasoning, and dynamic workflows Fine-grained prompt design, guardrails, and output evaluation Model selection, performance tuning, and cost optimization Integrating AI features into our existing MERN-based product If your passion is building real AI systems, not just prototypes, this role is built for you. Requirements AI Engineering Expertise (Required) - Candidates must have hands-on, production-level AI experience: Built production AI systems (bots, RAG, agents, orchestrations) Experience with GPT-4o, Claude, LangChain, LlamaIndex, Agent frameworks Deep understanding of embeddings + vector databases Experience designing RAG pipelines and context architectures Ability to build multi-step agentic workflows and tool systems Strong prompt engineering fundamentals + prompt security awareness Experience evaluating model performance + improving reliability Comfort with AI dev tooling (Cursor, Claude, Copilot, etc.) Full Stack Ability (Supporting Skillset) (Not the primary responsibility, but required for integrating AI features.) Experience with MongoDB, Express, React, Node.js Strong debugging and integration skills Bonus Skills AWS experience Workflow engines (n8n, Zapier) Experience with fine-tuning or model benchmarking How to Apply (Must Follow Exactly) Applicants who skip any step will be automatically declined. 1. Property Management / Real Estate Experience (Optional) List any relevant experience (optional). 2. GitHub Repository Share your GitHub link or specific repos showcasing your AI + full stack work. 3. 2-Minute Video Introduction (Required) Record a 1-2 minute video (Loom, unlisted YouTube, Google Drive, etc.) answering: Your name + where you're located Your AI experience in one sentence One AI system you built that you're proud of Clear audio is enough - no heavy editing required. (If this keyword is not at the top, the application will not be reviewed.)