Lead AI/ML Engineer, Applied AI
Core
Lead the end-to-end design, development, evaluation, and production deployment of advanced AI/ML solutions, LLM applications, and agentic workflows to power scientific products and customer-facing applications.
Role type
Senior IC Lead AI/ML Engineer (Applied AI) with growing management responsibility
Builds
Production-grade AI/ML models, LLM-powered services, RAG solutions, and agentic workflows for life sciences, genomics, material sciences, and healthcare
Domain
Life Sciences, Genomics, Material Sciences, Healthcare, Applied AI
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PyTorch, C++, C#, Data Engineering (ETL, Pandas, NumPy), LLM Orchestration (LangChain, LangGraph), RAG & Agentic AI, Vector Search, Model Deployment, Technical Leadership, Mentorship
Preferred skills
MLOps/LLMOps, Cloud Platforms (Azure, AWS, GCP), Computational Biology, Regulatory Domain Experience
Technologies
Azure OpenAI, Anthropic Claude, OpenAI APIs, LangChain, LangGraph, Pandas, NumPy, PyTorch, C++, C#
Responsibilities
Lead activities across the AI/ML lifecycle from ideation to deployment; Architect and implement agentic AI and RAG workflows; Mentor and guide engineers; Define reference model architectures and engineering standards; Integrate AI capabilities into enterprise platforms; Lead and develop a team of AI/ML engineers
Seniority
Senior, hands-on IC with leadership responsibilities
