Director, AI Platform & Agentic Engineering, AI & Genome Sciences
Core
Build and lead technical capabilities for AI/ML to accelerate target and biomarker discovery in disease biology, connecting scientists with data, compute, and models.
Role type
Director, AI Platform & Agentic Engineering
Builds
AI/ML research platform, developer tooling, foundation model training pipelines, and agentic AI frameworks for scientific workflows.
Domain
Biotechnology / Genomics / AI/ML
Deliverable
production ML models
Required skills
Agentic AI, Foundation Models, High Performance Computing (HPC), Python, Kubernetes, Data Engineering, Software Architecture, RAG, Knowledge Graphs
Preferred skills
Life Science, Omics, Open-source software development
Technologies
AWS, Databricks, Spark, Docker, Kubernetes, GitHub, LangGraph, Semantic Kernel, AutoGen, Transformers
Responsibilities
Build and evolve AI/ML research environment and reusable capabilities; Enable foundation model training, fine-tuning, and evaluation; Partner with IT for HPC access; Own SDLC for shared AI/ML tools; Mentor engineers and support scientists in translating AI approaches.
Seniority
Director, hands-on technical leadership
