Join our team as a Senior Staff AI Data Engineer and lead the development of cutting-edge AI solutions by implementing robust data engineering strategies. You will design and build scalable real-time data streaming pipelines using technologies like SnowPipe, develop retrieval-augmented generation (RAG) architectures, and integrate them with enterprise data infrastructure. Your day-to-day involves collaborating closely with cross-functional teams to ensure seamless deployment and maintenance of data systems while mentoring junior engineers. Essential skills include strong technical knowledge in AI solutions leveraging cloud platforms, proficiency in Python and deep learning frameworks like PyTorch or TensorFlow, and experience with vector databases and graph databases such as Neo4j. This role focuses on the insurance industry, where you will apply generative AI to specific data use cases, ensuring compliance with industry best practices while promoting innovation and excellence.
Lead the development of AI data pipelines integrating structured and unstructured data.
Design and implement Retrieval-Augmented Generation (RAG) architectures for enterprise use.
Ensure compliance with industry best practices in reliability engineering for data systems.
Mentor junior team members and promote best practices within the organization.
Develop graph database solutions to support complex data relationships in AI systems.
Stay updated on GenAI advancements and apply modern technologies to company systems.
What we're looking for
8+ years of data engineering experience with a focus on AI technologies.
Strong hands-on experience in implementing production-ready enterprise-grade GenAI data solutions.
Proficiency in Python and familiarity with deep learning frameworks like PyTorch or TensorFlow.
Experience in designing, building, and optimizing vector databases and graph databases.
Ability to mentor junior team members and promote best practices within the organization.
Expertise in cloud platforms (AWS, GCP, Azure) for AI-driven data systems implementation.
Knowledge of prompt engineering techniques and experience with Retrieval-Augmented Generation (RAG) pipelines.
Market check
Salary context
This
$135,040–$202,560
range sits above
34%
of similar postings on FindRole.
Peer median band
$158,400–$240,750
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$154,400–$241,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About The Hartford
The Hartford is a leading provider of property and casualty insurance, group benefits, and mutual funds, serving businesses and individuals across the United States. Industry: Insurance & Financial Services
The Hartford currently has
60 open roles
on FindRole.
Listed pay typically runs
$126,880–$190,320
across 60 roles with salary data.