Associate Director, AI Engineering
Core
Senior full-stack engineer and architect responsible for delivering robust, tested, and supportable systems from R&D prototypes to production, ensuring production readiness and validation for agentic AI applications.
Role type
Senior IC machine-learning engineer (AI/LLM applications)
Builds
Cloud-native systems, APIs, orchestration services, data/vector stores, and scientist-facing front ends for validated AI applications.
Domain
Biotherapeutics / Regulated Life Sciences / AI Engineering
Deliverable
production ML models
Required skills
System architecture, CI/CD pipeline ownership, Infrastructure as Code, LLM application patterns (RAG, vector search), Cloud-native development, Code review and governance, Production support and incident response, Requirements traceability, Security hardening, Refactoring and test coverage.
Preferred skills
Experience with regulated environments (GxP, CSV), Working with research scientists, Advanced degree.
Technologies
Python, TypeScript, PostgreSQL, AWS, Containers, Serverless, Vector stores.
Responsibilities
Own engineering standards and production readiness for team applications; Transform scientist prototypes into production-grade systems; Establish CI/CD, IaC, and deployment patterns; Review and approve code changes from scientists and contractors; Design full-stack cloud-native systems; Partner on risk-based engineering and validation practices; Lead productization of flagship applications; Manage production support and incident response.
Seniority
Senior, hands-on IC
