Senior Staff AI Data Engineer

Sr Staff Data Engineer - GE07DEWe’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 can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their current work arrangement with the expectation of coming into the office as business needs arise.Primary Job ResponsibilitiesLead the implementation of AI data pipelines integrating structured, semi-structured, and unstructured data to support AI and agentic solutions, including preprocessing techniques such as extraction, chunking, embedding, and grounding (e.g., RAG, retrieval frameworks)Develop AI-driven data systems that enhance data capabilities while ensuring adherence to industry best practicesImplement and optimize Retrieval-Augmented Generation (RAG) architectures and integrate them with enterprise data platformsDesign, build, and optimize scalable batch and streaming data pipelines with a focus on performance, resiliency, and operational efficiencyDevelop and maintain real-time data streaming pipelines using technologies such as SnowpipeDevelop data domains and data products to support reporting, analytics, AI/ML, and data science use casesEnsure the reliability, availability, and scalability of data pipelines through monitoring, alerting, and incident managementImplement reliability engineering best practices, including fault tolerance, redundancy, and disaster recoveryDrive engineering discipline across data platforms, including observability, data quality, lineage, and governanceCollaborate with DevOps and infrastructure teams to enable seamless deployment and operation of data systemsPartner with cross-functional teams to integrate data and AI solutions into business processes and enterprise systemsProvide architectural leadership in partnership with Data Architects, including defining technical standards and influencing enterprise-wide practicesDevelop and integrate graph database solutions to support complex data relationships within AI systemsApply GenAI approaches to insurance-specific data use cases and challengesLead the development of AI-ready data foundations that support scalable, production-grade solutionsEnsure data platforms remain resilient, governed, and cost-efficient, aligned with enterprise cloud and data strategiesMentor junior engineers and contribute to communities of practice, promoting best practices, reusable patterns, and engineering standardsStay current with advancements in GenAI and apply relevant technologies and methodologies to platform evolutionSkillsStrong technical expertise in AI-driven data solutions leveraging modern cloud platformsDeep expertise in core data engineering, including advanced SQL, data modeling, and query performance tuningStrong experience in ETL/ELT architecture, orchestration frameworks, and pipeline optimizationExperience working across teams with strong communication and stakeholder management skillsProven ability to mentor and develop AI and data engineering talentKnowledge of emerging AI and data engineering design patternsStrong planning, organization, and execution capabilitiesAbility to lead in a lean, agile, and fast-paced environment, leveraging Scaled Agile practicesStrong analytical and problem-solving skills with the ability to translate business requirements into technical solutionsDemonstrated leadership capability to own architecture decisions and drive cross-team alignmentEffective collaboration, decision-making, and relationship-building skillsStrong interpersonal skills with the ability to provide thought leadership in a dynamic environmentQualificationsCandidates 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 degree in Computer Science, Artificial Intelligence, or a related field8+ years of data engineering experience with deep expertise in SQL, data modeling, and large-scale data processing systemsProven experience designing and optimizing ETL/ELT pipelines and orchestration frameworks in enterprise environmentsExperience supporting Generative AI data engineering use casesHands-on experience implementing production-ready, enterprise-grade GenAI data solutionsExperience implementing RAG pipelines, including retrieval, chunking, embedding, and grounding techniquesExperience operationalizing GenAI pipelines in production environmentsHands-on experience with cloud ecosystems (AWS, GCP, Azure, Snowflake) and Python-based data engineering stacksProven ability to deliver resilient, governed, and cost-efficient data platforms at scaleExperience with vector databases and graph databases, including design and optimizationExperience working with unstructured data for GenAI applicationsExperience implementing data governance practices, including data quality, lineage, and data cataloging at scaleProficiency in building AI data pipelines that integrate structured and unstructured data with preprocessing techniquesStrong programming skills in PythonStrong communication skills and ability to explain technical concepts to a broad set of stakeholdersPreferred QualificationsExperience designing multi-cloud or hybrid AI data solutionsAI-related certificationsExperience in the P&C insurance industryContributions to open-source AI projects or research in Generative AICompensationThe 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 - $202,560Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeAbout Us | Our Culture | What It’s Like to Work Here | Perks & BenefitsSummaryLocation: Hartford, CTType: Full time