Staff AI Data Engineer - Hybrid job opportunity at The Hartford.

Home Jobs In United States Of America Tag: Job Staff AI Data Engineer - Hybrid position at The Hartford


DateMore Than 30 Days Ago bot
The Hartford Staff AI Data Engineer - Hybrid
Experience: 5-years
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreeOND
loacation Hartford, CT, United States Of America
loacation Hartford, CT....United States Of America

Staff Data Engineer - GE07CE 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  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. Develop graph database solutions 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) Collaboration across teams, decision making, conflict resolution and relationship building skills. Knowledge of evolving industry design patterns for AI. Intermediate 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 contribute successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working. 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. 5+ 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+ year 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 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: $125,760 - $188,640 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

Other Ai Matches

Defined Contribution Consultant - Midwest / West Coast based Applicants are expected to have a solid experience in handling Job related tasks
Personal Insurance Associate General Adjuster / General Adjuster - Texas Region Applicants are expected to have a solid experience in handling Job related tasks
Senior Executive Underwriter, Public Company Executive Liability Applicants are expected to have a solid experience in handling Public Company Executive Liability related tasks
Assistant Managing Director, Technology and Life Sciences- Middle Market Renewal Underwriting Center Applicants are expected to have a solid experience in handling Technology and Life Sciences- Middle Market Renewal Underwriting Center related tasks
Senior Business Analyst, Insurance Industry Applicants are expected to have a solid experience in handling Insurance Industry related tasks
Director of Data Engineering, Data Science Team Applicants are expected to have a solid experience in handling Data Science Team related tasks
Director, Priority Business Underwriting Applicants are expected to have a solid experience in handling Priority Business Underwriting related tasks
Senior IT Engineer – Full Stack Developer Applicants are expected to have a solid experience in handling Job related tasks
Nurse Case Manager Applicants are expected to have a solid experience in handling Job related tasks
Early Immersion Program 2026 Applicants are expected to have a solid experience in handling Job related tasks
Claims Handler Applicants are expected to have a solid experience in handling Job related tasks
Customer Service Relationship Specialist- Hartford, CT Applicants are expected to have a solid experience in handling CT related tasks
Sr Knowledge Engineer, Text Factory Applicants are expected to have a solid experience in handling Text Factory related tasks
Scrum Master Applicants are expected to have a solid experience in handling Job related tasks
Sales Manager - Southeast Region Applicants are expected to have a solid experience in handling Job related tasks
AVP IT Delivery - Middle and Large Business Applicants are expected to have a solid experience in handling Job related tasks
Senior Software Engineer - Intelligent Document Processing Applicants are expected to have a solid experience in handling Job related tasks
Financial Consultant Applicants are expected to have a solid experience in handling Job related tasks
Account Engineer Large Property-Risk Engineering (Northeast Region) Applicants are expected to have a solid experience in handling Job related tasks
Client Advisor - Chicago/Michigan - Employee Benefits Applicants are expected to have a solid experience in handling Job related tasks
Sr. Staff Software Engineer (Java/Gen AI/AWS) Applicants are expected to have a solid experience in handling Job related tasks
AWS Cloud Engineer Applicants are expected to have a solid experience in handling Job related tasks
Sr Accountant Applicants are expected to have a solid experience in handling Job related tasks