Senior AI Data Engineer, Data Products & RAG Foundations
Core
Build AI-ready data products, pipelines, and retrieval foundations (vector search, embeddings) to power enterprise AI and scientific workflows.
Role type
Senior IC data engineer (AI/ML infrastructure)
Builds
Production data products, ingestion frameworks, and retrieval assets for AI systems
Domain
Life sciences / Enterprise AI / Data Engineering
Deliverable
production ML models
Required skills
Data engineering, data quality & governance, vector databases, graph stores, RAG foundations (chunking, embeddings, hybrid retrieval), cloud/on-prem frameworks, entity resolution, metadata generation
Preferred skills
Microsoft Fabric, Snowflake, semantic enrichment, AI-assisted techniques
Technologies
Microsoft Fabric, Snowflake, vector databases, graph stores
Responsibilities
Design and implement scalable data ingestion and storage frameworks; build reusable data assets and services for AI teams; establish data quality standards and model-readiness criteria; design retrieval foundations including vector search and graph-based approaches; partner with data owners to define trusted data models; contribute reusable patterns to the enterprise ecosystem
Seniority
Senior, hands-on IC
