Principal AI Systems Engineer
Core
Design, build, validate, and deploy production AI systems (LLMs, RAG, agents) to improve operational productivity in a regulated life sciences environment.
Role type
Principal AI Systems Engineer (hands-on IC)
Builds
Production-grade AI systems, RAG pipelines, AI agents, and integrations for internal business processes.
Domain
Life Sciences / Biotechnology / Regulated Manufacturing
Deliverable
production ML models
Required skills
LLM application development, RAG system architecture, Python, AWS (S3, Redshift, Bedrock), MLOps, CI/CD, vector storage, prompt engineering, AI security controls, agent design, evaluation harnesses
Preferred skills
Model Context Protocol (MCP), enterprise search (OpenSearch/Elasticsearch), US regulatory knowledge (21 CFR Part 11, GxP, HIPAA)
Technologies
Python, AWS, S3, Redshift, Bedrock, OpenSearch, Elasticsearch, Git, Docker
Responsibilities
Design and ship AI systems end-to-end; implement production RAG systems; build evaluation harnesses; integrate AI with enterprise systems; maintain LLM security controls; design and deploy AI agents; establish engineering practices; evaluate AI vendors; implement technical controls; author technical documentation; mentor junior engineers
Seniority
Principal, hands-on IC
