AI Engineer
Core
Build auditable, traceable AI solutions (metadata-driven variable harmonization, retrieval, knowledge-graph services) on a new data layer for clinical trial data quality.
Role type
Senior IC AI Engineer (Regulated Clinical Trials)
Builds
AI components for data harmonization and retrieval services
Domain
Life Sciences / Clinical Trials / Data Quality
Deliverable
production ML models
Required skills
Python, RAG (retrieval design, grounding, evaluation), knowledge graphs, software engineering (testing, API design), systematic AI output evaluation, regulatory compliance design
Preferred skills
Clinical trials/life sciences domain, Databricks, Snowflake, Microsoft Azure, spec-driven development frameworks, clinical data standards (CDISC), structured AI workflows (prompt pipelines, agent orchestration)
Technologies
Python, RAG, Knowledge Graphs, Databricks, Snowflake, Microsoft Azure, CDISC
Responsibilities
Design and ship production AI solutions; evaluate AI outputs using test sets and accuracy measures; work with multi-source heterogeneous data; ensure auditability and traceability in system design
Seniority
Senior, hands-on IC
