AI Data Engineer
Core
Builds retrieval-ready, semantically annotated, and contract-governed data products and pipelines for AI agents and domain pods, transforming raw data into model-ready assets.
Role type
Senior AI Data Engineer (Data Plane)
Builds
Domain data products, pipelines, vector/graph assets, and metadata registries for AI consumption.
Domain
Life Sciences / AI Data Infrastructure
Deliverable
production ML models
Required skills
Data engineering for AI consumption, RAG data foundations (chunking, embedding, hybrid retrieval), semantic annotation, data contract governance, entity resolution, agent behavior analysis, data quality scoring, cloud/on-prem deployment topologies, data modeling, data collection frameworks.
Preferred skills
Experience with Microsoft Fabric, Snowflake, vector and graph stores, domain stewardship collaboration, self-reinvention of toolkits, generalization for second consumers.
Technologies
Microsoft Fabric, Snowflake, vector stores, graph stores, cloud platforms, local databases.
Responsibilities
Build domain data products and pipelines serving pod use cases; ensure data quality and model-readiness; collaborate with domain data owners and stewards; establish retrieval foundations (structured/unstructured, vector/graph); deploy AI agents for metadata generation and entity resolution; create reusable assets for the enterprise Fabric; develop data tools for analytics and data scientists; prepare data for predictive/prescriptive modeling.
Seniority
Senior, hands-on IC