This role leads the development of cutting-edge AI solutions and data engineering strategies to shape the future of technology at The Hartford
Job Summary
This role leads the development of cutting-edge AI solutions and data engineering strategies to shape the future of technology at The Hartford.
The successful candidate will design scalable real-time data streaming pipelines and implement Retrieval-Augmented Generation architectures for enterprise use.
Candidates must have strong technical knowledge in AI solutions leveraging cloud platforms and the ability to mentor junior engineers.
Matching Summary
This role leads the development of cutting-edge AI solutions and data engineering strategies to shape the future of technology at The Hartford.
Salary
Base: $135,040 - $202,560; Bonus/Equity: Short-term or annual bonuses and long-term incentives available; Benefits: On-the-spot recognition and other rewards included
Skills & Requirements
Must-have
Generative AI data pipeline implementation
Retrieval-Augmented Generation (RAG) architecture
Vector and Graph database experience
Python and Spark programming skills
Snowflake and SnowPipe data streaming
Unstructured data preprocessing strategies
AWS Lambda S3 EC2 cloud infrastructure
Nice-to-have
Multi-cloud hybrid AI solution experience
P&C industry domain knowledge
Natural language processing expertise
Open-source AI project contributions
Agile and Scaled Agile methodology
Mentoring junior team members
Deep learning framework familiarity
Key Requirements
8+ years of data engineering experience
1+ years of Generative AI experience
Bachelor's degree in Computer Science or related field
US work authorization without sponsorship required