Senior Engineer jobs at MetLife

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We are seeking a skilled individual to execute comprehensive model risk validation oversight for the lifecycle management of models. This includes conducting thorough model validation activities and ensuring adherence to written risk and compliance policies and procedures. The role requires strict independence from model stewards (e.g., model owners, developers, implementers, users) throughout all stages of the model's lifecycle, from development to ongoing maintenance. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. What you'll do: Implement independent model validation control activities for high risk in-house and vendor models. Leverage expert technical approaches to develop and implement validation testing plans. Replicate model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques. Conduct and develop plans for model testing and data quality assessments for models using various types of datasets including those employing large datasets and unstructured datasets. Review at an extensive experience level the end-to-end life-cycle management of model development, implementation, ongoing monitoring, and use in areas of Banking and Insurance (Property & Casualty and Life) along with their corresponding business support functions and operational processes. Assess model inherent risk ratings, model declassifications applications, the materiality of model changes, and conducts model change validations for all types models. Oversee and advises the model validation work of peers. Produce and deliver validation reports and related validation work to model validation management, model partners, senior leadership, and others. Implement the model validation process aligned with the risk and compliance policies and procedures. Evaluate model risk control strengths around model development, implementation, and use. Professionally develop on emerging modeling techniques and approaches. What you have: Bachelor's degree in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a Related Field with Core Quantitative Curriculum. Four additional years of related experience beyond the minimum required may be substituted in lieu of a degree. Minimum 6 years' related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research OR Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 4 years' related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research. Experience driving communication verbally and in writing quantitative/technical concepts and conclusions to non-technical audiences, senior leadership, auditors, and/or regulators. Strong programming skills in R, Python, SAS, Java, C, SQL, and/or other comparable programming languages for the iterative methodological tenants of model and algorithm development including setting model specifications, assumption testing, data quality assessments, variable selection, back-testing, benchmarking, and other robust model testing. Extensive Experience with at least three of the following statistical, econometric, data science, and predictive modeling approaches: Unsupervised Learning; K-Means; Linear Regression; Time-Series/Forecasting; Stress Testing; Logistic Regression; Gaussian Process; Simulation Models; Boosting/Bagging Trees; Neural Networks; Deep Learning Concepts; Bayesian Estimators. Strong business context knowledge in operational and support functions of Banking and/or Insurance as well as associated modeling and analytics knowledge. What sets you apart: Experience in developing / validating Artificial Intelligence Models (including Generative AI) for use in Large Financial Institutions in accordance with Federal Reserve Guidance on Model Risk Management (SR 11-7). Working knowledge of Data engineering, understanding the key concepts, tools, and practices involved in designing, building, and maintaining data pipelines and infrastructure. Provisioning, configuring, and managing cloud resources, including compute, storage, networking, and databases on both Azure and GCP Experience with Disparate Impact/ Bias testing. Compensation range: The salary range for this position is: $127,310.00 - $243,340.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact! Primary Job Responsibilities * AI Data Engineering lead responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. * Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. * Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. * Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. * Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems. * Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar. * Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc * Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. * Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. * Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. * Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. * Develop graph database solution for complex data relationships supporting AI systems. * Apply GenAI solutions to insurance-specific data use cases and challenges. * Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment. Skills * Strong Technical Knowledge (AI solution leveraging Cloud and modern solutions) * Able to communicate effectively with both technical and non-technical teams and influence * Collaboration across teams, decision making, conflict resolution and relationship building skills. * Experience in mentoring and developing Junior AI or Data Engineers. * Knowledge of evolving industry design patterns for AI. * Strong planning, organization, and execution skills. * Ability to provide Thought Leadership to dynamic and collaborative teams, demonstrating excellent interpersonal skills and time management capabilities. * Ability to understand and align deliverables to the departmental and organization strategies and objectives. * Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working. * Leader and team player with a transformation mindset. * Ability to translate complex technical topics into business solutions and strategies, as well as turn business requirements into a technical solution. Qualifications * Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. * Bachelor's in Computer Science, Artificial Intelligence, or a related field. * 8+ years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark, Datamesh, Datalake or Data Fabric. * 1+ years of data engineering experience focused on supporting Generative AI technologies * Strong hands-on experience implementing production ready enterprise grade GenAI data solutions. * Experience with prompt engineering techniques for large language models. * Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. * Experience of vector databases and graph databases, including implementation and optimization. * Experience in processing and leveraging unstructured data for GenAI applications. * Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph). * Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow. * Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions. * Experience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.). * Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform. * Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). * Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders. Preferred Qualifications: * Experience in multi cloud hybrid AI solutions. * AI Certifications * Experience in P&C or Employee Benefits industry * Knowledge of natural language processing (NLP) and computer vision technologies. * Contributions to open-source AI projects or research publications in the field of Generative AI. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Sr Staff AI Data Engineer is responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday). Responsibilities: * AI Data Engineering lead responsible for Implementing AI data pipelines that * bring together structured, semi-structured and unstructured data to support AI * and Agentic solutions. This Includes pre-processing with extraction, chunking, * embedding and grounding strategies to get the data ready. * Develop AI-driven systems to improve data capabilities, ensuring compliance * with industry's best practices. * Implement efficient Retrieval-Augmented Generation (RAG) architectures and * integrate with enterprise data infrastructure. * Collaborate with cross-functional teams to integrate solutions into operational * processes and systems supporting various functions. * Stay up to date with industry advancements in AI and apply modern * technologies and methodologies to our systems. * Design, build and maintain scalable and robust real-time data streaming * pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark * streaming, or similar. * Develop data domains and data products for various consumption archetypes * including Reporting, Data Science, AI/ML, Analytics etc. * Ensure the reliability, availability, and scalability of data pipelines and systems * through effective monitoring, alerting, and incident management. * Implement best practices in reliability engineering, including redundancy, fault * tolerance, and disaster recovery strategies. * Collaborate closely with DevOps and infrastructure teams to ensure seamless * deployment, operation, and maintenance of data systems. * Mentor junior team members and engage in communities of practice to deliver * high-quality data and AI solutions while promoting best practices, standards, * and adoption of reusable patterns. * Develop graph database solutions for complex data relationships supporting AI * systems. * Apply AI solutions to insurance-specific data use cases and challenges. * Partner with architects and stakeholders to influence and implement the vision * of the AI and data pipelines while safeguarding the integrity and scalability of * the environment. Qualifications: * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. * 8+ years of strong hands-on data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies * (AWS/Google/AZURE), Python/Spark, Datamesh, Datalake or Data Fabric. * Strong programming skills in Python and familiarity with deep learning * frameworks such as PyTorch or TensorFlow. * Experience in implementing data governance practices, including Data * Quality, Lineage, Data Catalogue capture, holistically, strategically, and * dynamically on a large-scale data platform. * Experience with cloud platforms (AWS, GCP, or Azure) and containerization * technologies (Docker, Kubernetes). * Strong written and verbal communication skills and ability to explain technical * concepts to various stakeholders. Preferred Qualifications: * Experience in multi cloud hybrid AI solutions. * AI Certifications * Experience in Employee Benefits industry * Knowledge of natural language processing (NLP) and computer vision * technologies. * Contributions to open-source AI projects or research publications in the field of * Generative AI. * Experience with building AI pipelines that bring together structured, semistructured and unstructured data. This includes pre-processing with extraction, * chunking, embedding and grounding strategies, semantic modeling, and getting * the data ready for Models and Agentic solutions. * Experience in vector databases, graph databases, NoSQL, Document DBs, * including design, implementation, and optimization. (e.g., AWS open search, * GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.). 3+ years of AI/ML experience, with 1+ years of data engineering experience focused on supporting Generative AI technologies. * Hands-on experience implementing production ready enterprise grade * AI data solutions. * Experience with prompt engineering techniques for large language models. * Experience in implementing Retrieval-Augmented Generation (RAG) * pipelines, integrating retrieval mechanisms with language models. * Experience of vector databases and graph databases, including * implementation and optimization. * Experience in processing and leveraging unstructured data for AI applications. * Proficiency in implementing scalable AI driven data systems supporting * agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph). Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Enterprise Data Services department's IT team supporting Global specialty is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform. We are looking for a talented professional with a proven track record of engineering the ELT development and integration using Snowflake. Our ideal candidate will leverage deep technical expertise and problem-solving skills to deliver invest, maintenance and enhancement projects within the Data & Analytics Value stream.This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday). Role Description:The Senior Staff Data Engineer will be proficient with data platform architecture, design, data curation, multi-dimensional models, strong understanding of data architecture, principles of ETL and Data Warehousing. Responsibilities will also include technical delivery review, resolution of architecture issues in AWS Snowflake platform.Responsibilities: + Demonstrate Technical leadership and expertise in Snowflake's cloud native architecture.Implement and leverage Materialized views, Data Sharing, Clone Feature and Performed Dynamic data Masking. + Have a solid understanding of delivery methodology(SDLC) and lead teams in the implementation of the solution according to the design/architecture. + Integration of data pipelines with source control repository and build CI/CD pipeline and DevOps. + Researches and evaluates alternative solutions and recommends the most efficient and cost-effective solution for the systems design. + Coordinate as needed between multiple disciplines such as, Architects, Business Analysts, Scrum Masters, and Developers to get technical clarity leading to design, develop and implementation of business solution. + Oversight of quality and completeness of detailed technical specifications, solution designs, and code reviews as well as adherence to the non-functional requirements. + Experience in delivering technical solutions in an iterative, agile environment (Scrum/Kanban) Participate as active agile team member to help drive feature refinement, user story completion, code review, etc. + Identify, document, and communicate technical risks, issues and alternative technical solutions discovered during project. + Collaboration with a high-performing, forward-focused team, Release train engineer, Product Owner(s) and Business stakeholders. + Ability to work on innovative and new projects with a "fail-fast" approach to provide optimal solutions that bring the most value to the business. + Passion for learning new skills and the ability to adjust priorities on multiple projects based on changing demands/needs. Qualifications & Key Skills: + Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. + 5+ years in Snowflake data warehousing, data pipelines and automation. + 5+ years of hands-on experience in Datawarehouse and Data Integration(ELT/ETL) + 3 + years in Cloud Data modernization (Ingestion, Curation, Data Domains, Data Products). + Experience working with Data Lakes loading disparate data sources- Structured, semi-structured data (Flat files, XML, JSON, Parquet) and unstructured data. + Ability to create, troubleshoot, enhance complex code in Snowflake Data Lakes/Data hubs/data warehouses. + Experience in building data pipelines using cloud native ELT tools and automation of data ingestion including change data capture (CDC). + Hands on experience with Snow SQL, Stored Procedures, UDF's using JavaScript, SnowPipe and other snowflake utilities. + Experience with Data Governance (Catalog, Quality, Lineage). + Strong data warehouse applications knowledge in preferably in financial/insurance domain is required. + Experience with version control tools , CI/CD pipeline and DevOps tools like GitHub , Jenkins nexus and uDeploy. + Knowledge of Data Profiling, Data Modeling and Database design is key to this role. Preferred Qualification and Skills: + SnowPro Core certified. + AI Certifications + Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. + Hands-on experience with Data Visualization (preferably Tableau). + Experience in the Insurance industry. + Experience with Artificial Intelligence. + Experience with Informatica Data management cloud. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact! Primary Job Responsibilities + AI Data Engineering lead responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. + Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. + Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. + Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. + Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems. + Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar. + Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc + Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. + Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. + Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. + Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. + Develop graph database solution for complex data relationships supporting AI systems. + Apply GenAI solutions to insurance-specific data use cases and challenges. + Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment. Skills + Strong Technical Knowledge (AI solution leveraging Cloud and modern solutions) + Able to communicate effectively with both technical and non-technical teams and influence + Collaboration across teams, decision making, conflict resolution and relationship building skills. + Experience in mentoring and developing Junior AI or Data Engineers. + Knowledge of evolving industry design patterns for AI. + Strong planning, organization, and execution skills. + Ability to provide Thought Leadership to dynamic and collaborative teams, demonstrating excellent interpersonal skills and time management capabilities. + Ability to understand and align deliverables to the departmental and organization strategies and objectives. + Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working. + Leader and team player with a transformation mindset. + Ability to translate complex technical topics into business solutions and strategies, as well as turn business requirements into a technical solution. Qualifications + Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. + Bachelor's in Computer Science, Artificial Intelligence, or a related field. + 8+ years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark, Datamesh, Datalake or Data Fabric. + 1+ years of data engineering experience focused on supporting Generative AI technologies + Strong hands-on experience implementing production ready enterprise grade GenAI data solutions. + Experience with prompt engineering techniques for large language models. + Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. + Experience of vector databases and graph databases, including implementation and optimization. + Experience in processing and leveraging unstructured data for GenAI applications. + Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph). + Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow. + Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions. + Experience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.). + Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform. + Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). + Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders. Preferred Qualifications: + Experience in multi cloud hybrid AI solutions. + AI Certifications + Experience in P&C or Employee Benefits industry + Knowledge of natural language processing (NLP) and computer vision technologies. + Contributions to open-source AI projects or research publications in the field of Generative AI. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Sr Staff AI Data Engineer is responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday). Responsibilities: + AI Data Engineering lead responsible for Implementing AI data pipelines that + bring together structured, semi-structured and unstructured data to support AI + and Agentic solutions. This Includes pre-processing with extraction, chunking, + embedding and grounding strategies to get the data ready. + Develop AI-driven systems to improve data capabilities, ensuring compliance + with industry's best practices. + Implement efficient Retrieval-Augmented Generation (RAG) architectures and + integrate with enterprise data infrastructure. + Collaborate with cross-functional teams to integrate solutions into operational + processes and systems supporting various functions. + Stay up to date with industry advancements in AI and apply modern + technologies and methodologies to our systems. + Design, build and maintain scalable and robust real-time data streaming + pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark + streaming, or similar. + Develop data domains and data products for various consumption archetypes + including Reporting, Data Science, AI/ML, Analytics etc. + Ensure the reliability, availability, and scalability of data pipelines and systems + through effective monitoring, alerting, and incident management. + Implement best practices in reliability engineering, including redundancy, fault + tolerance, and disaster recovery strategies. + Collaborate closely with DevOps and infrastructure teams to ensure seamless + deployment, operation, and maintenance of data systems. + Mentor junior team members and engage in communities of practice to deliver + high-quality data and AI solutions while promoting best practices, standards, + and adoption of reusable patterns. + Develop graph database solutions for complex data relationships supporting AI + systems. + Apply AI solutions to insurance-specific data use cases and challenges. + Partner with architects and stakeholders to influence and implement the vision + of the AI and data pipelines while safeguarding the integrity and scalability of + the environment. Qualifications: + Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. + 8+ years of strong hands-on data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies + (AWS/Google/AZURE), Python/Spark, Datamesh, Datalake or Data Fabric. + Strong programming skills in Python and familiarity with deep learning + frameworks such as PyTorch or TensorFlow. + Experience in implementing data governance practices, including Data + Quality, Lineage, Data Catalogue capture, holistically, strategically, and + dynamically on a large-scale data platform. + Experience with cloud platforms (AWS, GCP, or Azure) and containerization + technologies (Docker, Kubernetes). + Strong written and verbal communication skills and ability to explain technical + concepts to various stakeholders. Preferred Qualifications: + Experience in multi cloud hybrid AI solutions. + AI Certifications + Experience in Employee Benefits industry + Knowledge of natural language processing (NLP) and computer vision + technologies. + Contributions to open-source AI projects or research publications in the field of + Generative AI. + Experience with building AI pipelines that bring together structured, semistructured and unstructured data. This includes pre-processing with extraction, + chunking, embedding and grounding strategies, semantic modeling, and getting + the data ready for Models and Agentic solutions. + Experience in vector databases, graph databases, NoSQL, Document DBs, + including design, implementation, and optimization. (e.g., AWS open search, + GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.).3+ years of AI/ML experience, with 1+ years of data engineering experience focused on supporting Generative AI technologies. + Hands-on experience implementing production ready enterprise grade + AI data solutions. + Experience with prompt engineering techniques for large language models. + Experience in implementing Retrieval-Augmented Generation (RAG) + pipelines, integrating retrieval mechanisms with language models. + Experience of vector databases and graph databases, including + implementation and optimization. + Experience in processing and leveraging unstructured data for AI applications. + Proficiency in implementing scalable AI driven data systems supporting + agentic solution (AWS Lambda, S3, EC2, Langchain, Langgraph). Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact! This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Danbury, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday). Primary Job Responsibilities + AI Data Engineering lead responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. + Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. + Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. + Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. + Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems. + Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as SnowPipe. + Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc + Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. + Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. + Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. + Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. + Develop graph database solution for complex data relationships supporting AI systems. + Apply GenAI solutions to insurance-specific data use cases and challenges. + Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment. Skills + Strong Technical Knowledge (AI solution leveraging Cloud and modern solutions) + Able to communicate effectively with both technical and non-technical teams and influence + Collaboration across teams, decision making, conflict resolution and relationship building skills. + Experience in mentoring and developing Junior AI or Data Engineers. + Knowledge of evolving industry design patterns for AI. + Strong planning, organization, and execution skills. + Ability to provide Thought Leadership to dynamic and collaborative teams, demonstrating excellent interpersonal skills and time management capabilities. + Ability to understand and align deliverables to the departmental and organization strategies and objectives. + Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working. + Leader and team player with a transformation mindset. + Ability to translate complex technical topics into business solutions and strategies, as well as turn business requirements into a technical solution. Qualifications + Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. + Bachelor's in Computer Science, Artificial Intelligence, or a related field. + 8+ years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Python/Spark, Datamesh or Data Fabric. + 1+ years of data engineering experience focused on supporting Generative AI technologies + Strong hands-on experience implementing production ready enterprise grade GenAI data solutions. + Experience with prompt engineering techniques for large language models. + Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. + Experience of vector databases and graph databases, including implementation and optimization. + Experience in processing and leveraging unstructured data for GenAI applications. + Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Lang chain, Langgraph). + Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow. + Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions. + Experience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.). + Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform. + Experience with cloud platforms (AWS or GCP or Azure) + Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders. Preferred Qualifications: + Experience in multi cloud hybrid AI solutions. + AI Certifications + Experience in P&C industry + Knowledge of natural language processing (NLP) and computer vision technologies. + Contributions to open-source AI projects or research publications in the field of Generative AI. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us! Apply now to be part of our innovative journey and make a significant impact! This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Danbury, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday). Primary Job Responsibilities * AI Data Engineering lead responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready. * Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. * Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. * Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions. * Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems. * Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as SnowPipe. * Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc * Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. * Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies. * Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. * Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. * Develop graph database solution for complex data relationships supporting AI systems. * Apply GenAI solutions to insurance-specific data use cases and challenges. * Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment. Skills * Strong Technical Knowledge (AI solution leveraging Cloud and modern solutions) * Able to communicate effectively with both technical and non-technical teams and influence * Collaboration across teams, decision making, conflict resolution and relationship building skills. * Experience in mentoring and developing Junior AI or Data Engineers. * Knowledge of evolving industry design patterns for AI. * Strong planning, organization, and execution skills. * Ability to provide Thought Leadership to dynamic and collaborative teams, demonstrating excellent interpersonal skills and time management capabilities. * Ability to understand and align deliverables to the departmental and organization strategies and objectives. * Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working. * Leader and team player with a transformation mindset. * Ability to translate complex technical topics into business solutions and strategies, as well as turn business requirements into a technical solution. Qualifications * Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. * Bachelor's in Computer Science, Artificial Intelligence, or a related field. * 8+ years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Python/Spark, Datamesh or Data Fabric. * 1+ years of data engineering experience focused on supporting Generative AI technologies * Strong hands-on experience implementing production ready enterprise grade GenAI data solutions. * Experience with prompt engineering techniques for large language models. * Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. * Experience of vector databases and graph databases, including implementation and optimization. * Experience in processing and leveraging unstructured data for GenAI applications. * Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Lang chain, Langgraph). * Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow. * Experience with building AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions. * Experience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.). * Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform. * Experience with cloud platforms (AWS or GCP or Azure) * Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders. Preferred Qualifications: * Experience in multi cloud hybrid AI solutions. * AI Certifications * Experience in P&C industry * Knowledge of natural language processing (NLP) and computer vision technologies. * Contributions to open-source AI projects or research publications in the field of Generative AI. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. We are seeking a highly skilled and experienced Amazon Connect Tech Lead to join our dynamic team. As a Tech Lead, you will be responsible for leading the design, implementation, and optimization of cloud-based contact center solutions using Amazon Connect. You will work closely with cross-functional teams to deliver scalable and reliable solutions that enhance customer experience and drive business outcomes. Key Responsibilities: + Lead the design and implementation of Amazon Connect solutions. + Oversee the integration of Amazon Connect with other AWS services such as Amazon Lex, AWS Lambda, Amazon S3, and Amazon Kinesis. + Provide technical guidance and mentorship to team members. + Ensure the scalability, reliability, and performance of contact center solutions. + Collaborate with stakeholders, including senior leadership, to gather requirements and deliver solutions. + Conduct code reviews and ensure adherence to best practices and coding standards. + Troubleshoot and resolve technical issues related to AWS services. + Implement security best practices to protect sensitive data. + Stay updated with the latest AWS technologies and industry trends. Qualifications: + Bachelor's degree in Computer Science, Information Technology, or a related field. + 8+ years of experience in software development and cloud computing. + Extensive experience with Amazon Web Services (AWS), particularly Amazon Connect. + Strong knowledge of AWS services such as Amazon Lex, AWS Lambda, Amazon S3, and Amazon Kinesis. + Proficient in Infrastructure as Code (IaC) such as Terraform + Experience with IBM API Connect (APIC) or heavy exposure with creating and implementing and integrating Rest & SOAP APIs + Proven experience in leading technical projects and teams. + Excellent problem-solving skills and the ability to troubleshoot complex technical issues. + Strong communication and collaboration skills. + AWS certification is required. Skills: + Proficiency in programming languages such as Node.js (preferably Node.js or Python, Java & JavaScript)\ + Knowledge of API Security mechanisms like OAuth, SAML, JWT + Deep understanding of cloud architecture and best practices. + Experience with CI/CD pipelines and DevOps practices. + Strong analytical and organizational skills. + Ability to work in a fast-paced, dynamic environment. Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $126,160 - $189,240 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

At AIG, we are reimagining the way we help customers to manage risk. Join us as aTechnology Lead - Full Stack Engineer to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team. Make your mark in Information Technology At AIG, technology is at the heart of everything we do, from underwriting risks to processing claims. The Information Technology (IT) team equips our colleagues with the latest tools to complete their work efficiently, with the highest standards of excellence. The team is responsible for shielding the company's systems from security risks, while designing technology strategies that enable AIG's businesses to achieve their goals. Innovation in IT drives innovation across the organization. How you will create an impact We are seeking a Technology Lead to provide technical direction and architectural leadership across our enterprise solutions. This role requires an experienced technologist who can drive technical strategy, make key architectural decisions, and mentor development teams while maintaining a hands-on approach to complex technical challenges. Key Responsibilities * Define and implement technical strategy aligned with business objectives * Make critical architectural decisions and establish technical standards * Lead technical discovery and solution design sessions * Provide technical oversight and guidance across multiple projects * Evaluate and recommend new technologies and tools * Ensure scalability, security, and performance of solutions * Drive innovation and technical excellence within the organization * Collaborate with stakeholders to align technical solutions with business needs * Mentor and develop technical team members * Establish best practices and coding standards Technical Proficiencies * Cloud platforms (AWS) and related services * Containerization and orchestration (Docker, Kubernetes) * Microservices architecture * CI/CD pipelines and DevOps practices * Multiple programming languages (Java, Python, etc.) * Database technologies (SQL and NoSQL) * Infrastructure as Code * Security best practices * Performance optimization tools Required Education: * Bachelor's/Master's degree in Computer Science or related field * AWS Certified Solutions Architect or equivalent * Additional technical certifications preferred Experience: * 10+ years of software development experience * 5+ years in technical leadership roles * Proven experience with enterprise architecture * Track record of successful technical delivery * Experience with multiple technology stacks Other Proficiencies: * Strong technical vision and strategic thinking * Excellence in architectural design * Proven leadership and mentoring abilities * Outstanding problem-solving skills * Excellent communication abilities * Ability to balance technical debt with delivery * Forward-thinking and innovative mindset * Strong influencing skills Ready to set new industry standards? We would love to hear from you. Veterans are encouraged to apply. #LI-RG2 #LI-AIG #AI #GenAI #artificialintelligence #DataScience #BigData At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike. Enjoy benefits that take care of what matters At AIG, our people are our greatest asset. We know how important it is to protect and invest in what's most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security-as well as your professional development-to bring peace of mind to you and your family. Reimagining insurance to make a bigger difference to the world American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world's most far-reaching property casualty networks. It is an exciting time to join us - across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become. Welcome to a culture of inclusion We're committed to creating a culture that truly respects and celebrates each other's talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG's greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations. AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories. AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to *********************. Functional Area: IT - Information Technology AIG PC Global Services, Inc.

Principal Software Engineer - IE06GE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford's Employee Benefits Organization is seeking a Principal Software Engineer to lead AI-enabled service transformation. This role sets technical vision, evaluates future solutions, and mentors engineers to ensure scalable, cloud-native architectures and successful delivery of complex projects. The ideal candidate will have deep expertise in GCP and AWS, microservices, event-driven architecture, and Agentic AI capabilities for developer productivity and workflow automation. Responsibilities Define long-term technical strategy and architecture aligned with business goals. Mentor engineers and foster a culture of technical excellence. Lead hands-on prototyping and problem-solving for complex challenges. Explore emerging technologies and drive innovation across teams. Collaborate cross-functionally to translate business needs into technical solutions. Conduct workshops and proof-of-concepts to assess new technologies. Required Qualifications 10+ years as Senior Software Engineer or 2+ years as Principal Engineer in large-scale transformation programs. 5+ years of direct experience with GCP and/or AWS; strong knowledge of multi-cloud ecosystems. Expertise in scalable cloud solutions using GenAI, machine learning, and advanced analytics. Strong understanding of DevSecOps and scaled agile methodologies. Excellent communication and presentation skills. Bachelor's degree in Computer Science or related field; advanced degree preferred. Preferred Qualifications Knowledge of the insurance industry. Certifications: Google Professional Cloud Architect, AWS Certified Solutions Architect - Professional. Additional Information Experience with Infrastructure-as-Code tools (Terraform, CloudFormation). Proficiency in microservices, API management (Swagger, Apigee, AWS API Gateway), and event-driven architecture (Kafka, Kinesis). Hands-on experience with Agentic AI frameworks (LangChain, CrewAI, LangGraph). Skills in prompt engineering and instruction design. Knowledge of vector databases, knowledge graphs, and hybrid memory systems. Familiarity with observability tools (Splunk, Dynatrace) and secure deployment practices. Expertise in GenAI-driven test automation and CI/CD pipelines (Jenkins, GitHub Actions, Docker/OpenShift). Strategic thinking and ethical AI governance. This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $166,560 - $249,840 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Principal Software Engineer - IE06GE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford's Employee Benefits Organization is seeking a Principal Software Engineer to lead AI-enabled service transformation. This role sets technical vision, evaluates future solutions, and mentors engineers to ensure scalable, cloud-native architectures and successful delivery of complex projects. The ideal candidate will have deep expertise in GCP and AWS, microservices, event-driven architecture, and Agentic AI capabilities for developer productivity and workflow automation. Responsibilities + Define long-term technical strategy and architecture aligned with business goals. + Mentor engineers and foster a culture of technical excellence. + Lead hands-on prototyping and problem-solving for complex challenges. + Explore emerging technologies and drive innovation across teams. + Collaborate cross-functionally to translate business needs into technical solutions. + Conduct workshops and proof-of-concepts to assess new technologies. Required Qualifications + 10+ years as Senior Software Engineer or 2+ years as Principal Engineer in large-scale transformation programs. + 5+ years of direct experience with GCP and/or AWS; strong knowledge of multi-cloud ecosystems. + Expertise in scalable cloud solutions using GenAI, machine learning, and advanced analytics. + Strong understanding of DevSecOps and scaled agile methodologies. + Excellent communication and presentation skills. + Bachelor's degree in Computer Science or related field; advanced degree preferred. Preferred Qualifications + Knowledge of the insurance industry. + Certifications: Google Professional Cloud Architect, AWS Certified Solutions Architect - Professional. Additional Information + Experience with Infrastructure-as-Code tools (Terraform, CloudFormation). + Proficiency in microservices, API management (Swagger, Apigee, AWS API Gateway), and event-driven architecture (Kafka, Kinesis). + Hands-on experience with Agentic AI frameworks (LangChain, CrewAI, LangGraph). + Skills in prompt engineering and instruction design. + Knowledge of vector databases, knowledge graphs, and hybrid memory systems. + Familiarity with observability tools (Splunk, Dynatrace) and secure deployment practices. + Expertise in GenAI-driven test automation and CI/CD pipelines (Jenkins, GitHub Actions, Docker/OpenShift). + Strategic thinking and ethical AI governance. This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $166,560 - $249,840 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Enterprise Data Services Department's Customer Data Ecosystem Operations Team is looking for a skilled Sr. Staff AI Data Engineer (Tech Lead) to join our team. This is an exciting opportunity to join us on our multi-year Cloud Modernization journey. The role focuses on integrating data from multiple systems, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud tools and technologies. You uphold data integrity, accessibility, and compliance while creating curated Data Products to support diverse analytics needs-including descriptive, diagnostic, predictive, and prescriptive use cases for visualization and advanced data science. Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., Spark, Snowflake), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, cloud platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data Mesh is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environments. To succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Key Responsibilities Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data. Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment. Ingest and process large-scale datasets into the Enterprise Data Lake and downstream systems. Curate and publish Data Products to support analytics, visualization, and machine learning use cases. Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics. Apply best practices for data modeling, governance, and security across all solutions. Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes. Monitor and fine-tune data pipelines for performance, scalability, and reliability. Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity. Develop self-healing pipelines with robust re-startability mechanisms for resilience. Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M. Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes. Lead Proof of Concepts (POCs) and technology evaluations to drive innovation. Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets. Required Skills & Experience: Bachelor's or master's degree in computer science or a related discipline. 5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance or a related industry. 3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake. Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation (3+ years). Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics (3+ years). 3+ years of hands-on experience in processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines. Strong technical knowledge (AI solution leveraging Cloud and modern solutions) 3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks. 2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions. Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making. Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps. Nice to Have Certifications in AWS Data & Analytics Services, Snowflake, and Informatica IDMC. Experience in building and integrating AI agents into data workflows. Strong knowledge of data governance, including metadata management and lineage tracking, with hands-on experience collaborating with the Data Governance Office. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Enterprise Data Services Department's Customer Data Ecosystem Operations Team is looking for a skilled Sr. Staff AI Data Engineer (Tech Lead) to join our team. This is an exciting opportunity to join us on our multi-year Cloud Modernization journey. The role focuses on integrating data from multiple systems, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud tools and technologies. You uphold data integrity, accessibility, and compliance while creating curated Data Products to support diverse analytics needs-including descriptive, diagnostic, predictive, and prescriptive use cases for visualization and advanced data science. Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., Spark, Snowflake), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, cloud platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data Mesh is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environments. To succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Key Responsibilities + Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data. + Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns. + Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment. + Ingest and process large-scale datasets into the Enterprise Data Lake and downstream systems. + Curate and publish Data Products to support analytics, visualization, and machine learning use cases. + Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics. + Apply best practices for data modeling, governance, and security across all solutions. + Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes. + Monitor and fine-tune data pipelines for performance, scalability, and reliability. + Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity. + Develop self-healing pipelines with robust re-startability mechanisms for resilience. + Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M. + Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes. + Lead Proof of Concepts (POCs) and technology evaluations to drive innovation. + Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices. + Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure. + Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets. Required Skills & Experience: + Bachelor's or master's degree in computer science or a related discipline. + 5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance or a related industry. + 3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake. + Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation (3+ years). + Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics (3+ years). + 3+ years of hands-on experience in processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines. + Strong technical knowledge (AI solution leveraging Cloud and modern solutions) + 3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks. + 2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions. + Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making. + Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps. Nice to Have + Certifications in AWS Data & Analytics Services, Snowflake, and Informatica IDMC. + Experience in building and integrating AI agents into data workflows. + Strong knowledge of data governance, including metadata management and lineage tracking, with hands-on experience collaborating with the Data Governance Office. Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $135,040 - $202,560 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. This position is for a Senior Staff Software Engineer in Personal Lines IT organization. The Personal Lines development team is passionate for technology and strives to build well architected and innovative solutions for the business. Personal Lines has adopted Scrum & development methodology and core agile engineering practices such as continuous integration and test-driven development. This position will have the overall end-to-end technical accountabilities for a sub value stream. The role requires frequent leadership functions that demands strong planning, estimating, collaboration, and application design / development and communication skills. You will lead design teams and development of technology solutions to address Personal Lines business needs. You will help develop the next generation of systems for various value stream. RESPONSIBILITIES: Hands-on technical lead for one or more Scrum teams, accountable for technical deliverables on invest and maintenance projects through the software development life cycle, including validating the completeness of estimates, quality, and accuracy of technical designs, build and implementation. Proactively address technical issues and risks that could impact project schedule and/or integrity of the application environment. Work closely with stakeholders to design and document solutions that align with the business needs and also consistent with the architectural vision. Mentor and train project team members (including Sourcing Partners) to enforce development guidelines and best practices. Coordinate between multiple disciplines (Architects, Business Analysts, Project Managers, and Customers) and developers to design, develop, implement, and support complex business solutions. Perform detailed technical reviews including code review to ensure the quality of the deliverables is high. Must have a strong working experience as Designer/Developer of REST API, SOAP Web services, both as consumer & provider. Experience creating APIs with XML/JSON data structure is a must Experience defining and negotiating XML/JSON based contracts with various Stake holders Hands on experience with developing XSLT style sheets-based transformations. Perform hands-on development work as needed using .NET, ASP.NET, C#, HTML, XML, Java, JavaScript, Angular, JSON and SQL Prior Experience with DuckCreek Suite of Products Policy, Billing, Insights implemented on “DuckCreek on Demand Cloud” and integrations experience with ‘OnPrem' applications strongly Preferred. Thorough understanding and experience using relational databases preferably SQL Server and/or Oracle Leadership functions: Leads IT Design and Development teams to implement solutions. Ensures technical and business requirements for applications are in compliance with Enterprise Reference Architecture. Ability to support multiple work streams and constantly prioritize work for self, as well as for the team. Identifies and resolves gaps in skills, processes, and resources. Sets deadlines, assigns responsibilities, mentors, and monitors progress of the team. Works with stakeholders and technical areas to identify nonfunctional requirements. Develops guidelines for capturing technical and business requirements. Identify and resolves gaps in skills, processes, and resources. Lead IT Development team to implement enterprise solutions. Minimum Requirements: Advanced degree in Computer Science or related discipline with a minimum of 10-12 years of work experience in Application development 7+ years of experience in driving Application designing including, converting business needs into solutions, Lead solution option analysis by providing/evaluating multiple options and creating roadmaps for solution delivery. Working experience with Cloud (AWS Preferred) hosted application and integrating with non AWS based applications. Working experience with DuckCreek Products Policy, Billing and Data Insights preferred. Experience with continuous integration and DevOps methodologies, preferred tools such as GitHub, Jenkins, Rally, SonarQube etc., Experience with Agile development frameworks like ‘Scaled Agile', Scrum, Kanban. Experience in designing & developing high performing application that has high concurrency supporting over 2000+ concurrent users. Experience using Microsoft SSIS & SSRS tools strongly preferred. Experience in front end web technologies and frameworks: HTML5, JavaScript, CSS, Ajax, Angular/React ASP.NET, C#. Knowledge of P&C (Property & Casualty) Insurance is a plus. Knowledge of implementing solutions through Gen AI (Artificial Intelligence) is a plus. This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $126,160 - $189,240 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Hartford's Employee Benefits IT Team is seeking a highly motivated, experienced IT professional who is responsible for leading engineering teams to successfully drive the transformation of Employee Benefits application landscape. This is a hands-on technical leadership role, that will be part of an EB IT team partnering with value stream business to drive and achieve outcomes on a multiyear transformational program. Successful candidates will be expected to demonstrate strong technical and leadership skills, excellent partnership, proven experience in delivering quality technical solutions as well as setting and executing on a strategic technical vision to ensure the systems are stable, performant, secure and scalable. Job Description: + Develop applications with Java and J2EE technologies, use Micro Services, JMS, XML, JSON, JDBC etc. Along with experience of Web Services (SOAP and Rest) using Java Springboot or Apache Camel. + Identifies, drives and leads in the implementation of standards and best practices on how we deploy applications in AWS. Designs reusable architectures and services that can be leveraged by agile teams across the program to improve development velocity. + Ability to design and implement new software architecture patterns in Cloud that are scalable, secure and cost efficient, adhering industry standards such as multi region support with fault tolerance and data replication strategies. + Use shift left approach to do security, testing and performance in dev cycle. Full stack Engineering Mindset + Very good experience with Sonar, unit testing frameworks, using copilot (GEN AI tools) for app development, infrastructure development. + Develops Infrastructure as Code (IaC) using CloudFormation templates, YAML files, build specifications, and Python Lambda functions to have a completely automated build and release process for all AWS resource infrastructure and code artifacts. + Highly knowledgeable with hands on experience of Amazon Web Services including but not limited to Lambda, CloudWatch, ECS, EKS, RDS, DMS, CDC, S3, IAM, SNS, SQS, EventBridge, Service Catalog. + Working knowledge of software development practices including DevOps and CI/CD tool chains ( GitHub, Jenkins, Docker, K8s etc.) + Implements proactive monitoring and observability to predict and detect abnormal system behaviors, with timely alerts avoiding system impacts. + Mentor junior Cloud and Software Engineers. + Present new ideas to leadership and present on topics to improve the learning of others. + Communicate clearly and professionally both in speech and in writing. + Experience with AWS Flink is a nice to have. Minimum Qualifications: + Bachelor's degree in computer science, Math, or any Engineering + 10+ years of hands-on experience with Java and J2EE technologies, such as, Java Web Services, JMS, JSP, XML, JSON, JDBC etc. Along with experience with Web Services (SOAP and Rest) using Java Springboot or Apache Camel. + 5+ years software architecture and systems design experience + Infrastructure as Code experience, like CloudFormation, Terraform, CDK, etc. + Strong software development knowledge + Strong technical knowledge of AWS relating to application development and certifications are plus. + Ability to communicate at all levels within an organization and influence leadership. + Proven ability to work with cross functional teams and translate requirements between business, project management and technical projects or programs. This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $126,160 - $189,240 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. This position is for a Senior Staff Software Engineer in Personal Lines IT organization. The Personal Lines development team is passionate for technology and strives to build well architected and innovative solutions for the business. Personal Lines has adopted Scrum & development methodology and core agile engineering practices such as continuous integration and test-driven development. This position will have the overall end-to-end technical accountabilities for a sub value stream. The role requires frequent leadership functions that demands strong planning, estimating, collaboration, and application design / development and communication skills. You will lead design teams and development of technology solutions to address Personal Lines business needs. You will help develop the next generation of systems for various value stream. RESPONSIBILITIES: + Hands-on technical lead for one or more Scrum teams, accountable for technical deliverables on invest and maintenance projects through the software development life cycle, including validating the completeness of estimates, quality, and accuracy of technical designs, build and implementation. + Proactively address technical issues and risks that could impact project schedule and/or integrity of the application environment. + Work closely with stakeholders to design and document solutions that align with the business needs and also consistent with the architectural vision. + Mentor and train project team members (including Sourcing Partners) to enforce development guidelines and best practices. + Coordinate between multiple disciplines (Architects, Business Analysts, Project Managers, and Customers) and developers to design, develop, implement, and support complex business solutions. + Perform detailed technical reviews including code review to ensure the quality of the deliverables is high. + Must have a strong working experience as Designer/Developer of REST API, SOAP Web services, both as consumer & provider. + Experience creating APIs with XML/JSON data structure is a must + Experience defining and negotiating XML/JSON based contracts with various Stake holders + Hands on experience with developing XSLT style sheets-based transformations. + Perform hands-on development work as needed using .NET, ASP.NET, C#, HTML, XML, Java, JavaScript, Angular, JSON and SQL + Prior Experience with DuckCreek Suite of Products Policy, Billing, Insights implemented on "DuckCreek on Demand Cloud" and integrations experience with 'OnPrem' applications strongly Preferred. + Thorough understanding and experience using relational databases preferably SQL Server and/or Oracle Leadership functions: + Leads IT Design and Development teams to implement solutions. + Ensures technical and business requirements for applications are in compliance with Enterprise Reference Architecture. + Ability to support multiple work streams and constantly prioritize work for self, as well as for the team. + Identifies and resolves gaps in skills, processes, and resources. + Sets deadlines, assigns responsibilities, mentors, and monitors progress of the team. + Works with stakeholders and technical areas to identify nonfunctional requirements. + Develops guidelines for capturing technical and business requirements. + Identify and resolves gaps in skills, processes, and resources. + Lead IT Development team to implement enterprise solutions. Minimum Requirements: + Advanced degree in Computer Science or related discipline with a minimum of 10-12 years of work experience in Application development + 7+ years of experience in driving Application designing including, converting business needs into solutions, Lead solution option analysis by providing/evaluating multiple options and creating roadmaps for solution delivery. + Working experience with Cloud (AWS Preferred) hosted application and integrating with non AWS based applications. + Working experience with DuckCreek Products Policy, Billing and Data Insights preferred. + Experience with continuous integration and DevOps methodologies, preferred tools such as GitHub, Jenkins, Rally, SonarQube etc., + Experience with Agile development frameworks like 'Scaled Agile', Scrum, Kanban. + Experience in designing & developing high performing application that has high concurrency supporting over 2000+ concurrent users. + Experience using Microsoft SSIS & SSRS tools strongly preferred. + Experience in front end web technologies and frameworks: HTML5, JavaScript, CSS, Ajax, Angular/React ASP.NET, C#. + Knowledge of P&C (Property & Casualty) Insurance is a plus. + Knowledge of implementing solutions through Gen AI (Artificial Intelligence) is a plus. This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $126,160 - $189,240 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Staff Software Engineer - IE07IE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford is searching for a Staff Software Engineer within the Personal Lines organization that will have end-to-end technical accountabilities in application development for personal lines portfolio in a highly distributed, integrated, multi-platform environment. This team is passionate for technology and strives to build well architected and innovative solutions for the business as well as Fundamentally treats IT Operations as Software Engineering and adopted Scrum development methodology and core agile engineering practices such as continuous integration and test-driven development. Responsibilities: + Technical Leadership: Provide technical leadership, enforcing the vision of the application architecture and integrity of the application environment in alliance with architects and other tech leads. + Hands-On Coding: Lead teams while also performing hands-on coding to stay connected with the technical aspects of the projects. + Code Quality : Conducting code reviews to maintain high standards in coding and reliability. + Mentorship : Guiding junior engineers to enhance team capabilities and foster growth, + Communicate Effectively: Proactively communicate risks, issues, and mitigations to stakeholders. + Embrace Future Technologies: Lead innovation efforts, leveraging modern technologies to solve customer problems. Knowledge of implementing solutions through Gen AI (Artificial Intelligence) is a plus. Qualifications: + Experience: 5+ years in application software development. + Technical Skills: Strong understanding of Object-Oriented design, Java or .NET frameworks, front-end technologies (HTML, CSS, JavaScript, AJAX, JSON, Angular/React, XML, XSLT, SQL), and cloud platforms (preferably AWS). Must have a strong working experience as Designer/Developer of REST/SOAP API services, both as consumer & provider. + DevOps Knowledge: Experience with continuous integration and DevOps tools (GitHub, Jenkins, Rally, SonarQube). + Tech Savvy: Passionate about staying current with technology trends, experimenting with modern technologies, and participating in internal tech communities. + Agile Practitioner: Experience with agile or scrum methodologies. + Soft Skills: Excellent analytical, problem-solving, interpersonal, verbal, and written communication skills. + Industry Knowledge: Knowledge of P&C Insurance and low coding platforms (Duck Creek,) is a plus. + Education: Bachelor's degree in computer science or related field preferred. This role will have a Hybrid work arrangement, with the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $114,720 - $172,080 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Role Value Proposition: As an AI & Data Science Engineer focused on enterprise AI platform development, you will play a pivotal role in architecting, designing, and implementing the core AI and machine learning (ML) infrastructure that underpins our next-generation business applications. You will collaborate with cross-functional teams--including enterprise platform and architecture team, data engineers, DevOps, and business stakeholders--to deliver solutions that are not only technically sound but also aligned with the strategic goals of the organization. Key Responsibilities: * AI Platform Capability Development: Design, develop, and manage scalable enterprise AI capabilities that support the AI platform. * Model Engineering: Design, train, and optimize machine learning and deep learning models for a variety of business use cases (e.g., SLM, computer vision, predictive analytics, recommendation systems). * Data Pipeline Engineering: Collaborate with data engineers to design and implement robust data ingestion, transformation, validation, and feature engineering pipelines tailored for AI/ML workloads. * Platform Integration: Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices. * Automation & MLOps: Develop and maintain CI/CD pipelines for ML models, ensuring automated testing, versioning, deployment, and monitoring in production environments. * Performance & Scalability: Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures. * Security & Compliance: Implement and advocate for security, privacy, ethical, and compliance best practices throughout the AI/ML platform and model development lifecycle. * Innovation & Research: Stay abreast of the latest trends and advancements in AI, ML, and platform engineering. Evaluate and prototype emerging technologies for inclusion in the enterprise platform. * Documentation & Knowledge Sharing: Produce clear technical documentation and participate in knowledge sharing to mentor team members and enable collaboration across the organization. Essential Business Experience and Technical Skills: Required: * Bachelor's or Master's degree in computer science, Data Science, Engineering, Mathematics, or a related field. A PhD is a plus. * 7+ years of experience in AI/ML engineering, GenAI, data science, or related roles. * Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost, Hugging Face). * Strong software engineering skills with experience in Python (required). * Proven experience designing, developing, and deploying Generative AI (GenAI) solutions using large language models (LLMs) such as GPT, Llama, Claude, etc. * Experience with modern GenAI frameworks and libraries (e.g., LangChain, LlamaIndex, Hugging Face Transformers). * Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and model monitoring. Preferred: * Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and orchestration tools. * Hands-on expertise with Retrieval-Augmented Generation (RAG) architectures, including integrating external data sources and vector databases to enhance LLM outputs. * Strong understanding of prompt engineering, fine-tuning, and evaluation of generative models for real-world applications. * Ability to build, optimize, and scale GenAI pipelines for tasks such as document Q&A, summarization, chatbots, and knowledge retrieval. At MetLife, we're leading the global transformation of an industry we've long defined. United in purpose, diverse in perspective, we're dedicated to making a difference in the lives of our customers. Equal Employment Opportunity/Disability/Veterans If you need an accommodation due to a disability, please email us at accommodations@metlife.com. This information will be held in confidence and used only to determine an appropriate accommodation for the application process. MetLife maintains a drug-free workplace.