Senior Staff AI Data Engineer - Hybrid
Core
Lead the implementation of AI data pipelines and develop AI-driven data systems to support Generative AI solutions, RAG architectures, and enterprise data platforms.
Role type
Senior Staff AI Data Engineer
Builds
Scalable batch and streaming data pipelines, AI-ready data foundations, and production-grade GenAI data solutions
Domain
Insurance industry, Generative AI, Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Advanced SQL, data modeling, ETL/ELT architecture, Python, cloud ecosystems (AWS, GCP, Azure, Snowflake), vector databases, graph databases, RAG implementation, data governance, incident management
Preferred skills
Multi-cloud AI solutions design, AI-related certifications, P&C insurance industry experience, open-source AI contributions
Technologies
Snowpipe, RAG frameworks, vector databases, graph databases, Python, Snowflake, AWS, GCP, Azure
Responsibilities
Lead implementation of AI data pipelines integrating structured and unstructured data; Design and optimize scalable batch and streaming data pipelines; Implement and optimize Retrieval-Augmented Generation (RAG) architectures; Develop data domains and data products for AI/ML use cases; Ensure reliability and scalability of data pipelines through monitoring and incident management; Mentor junior engineers and drive engineering discipline across data platforms
Seniority
Senior Staff, hands-on IC with architectural leadership