Sr AI/ML Engineer, Applied AI
Core
Design, develop, evaluate, and deploy advanced AI/ML solutions, LLM applications, RAG systems, and agentic workflows for internal and external customer-facing applications in life sciences and healthcare.
Role type
Senior hands-on IC AI/ML Engineer (Applied AI)
Builds
Production-grade AI and Generative AI features supporting scientific workflows and customer outcomes
Domain
Life sciences, genomics, material sciences, healthcare
Deliverable
production ML models | product features
Required skills
Python, PyTorch, C++, C#, deep learning, CNNs, decision trees, clustering, ensembles, RAG, agentic AI, embeddings, vector search, prompt engineering, LangChain, LangGraph, data engineering, ETL, MLOps/LLMOps
Preferred skills
Life sciences/genomics/healthcare domain expertise, cloud platforms (Azure/AWS/GCP), computational biology
Technologies
Azure OpenAI, Anthropic Claude, OpenAI APIs, Pandas, NumPy
Responsibilities
Lead activities across the AI/ML lifecycle from ideation to deployment; Iteratively develop and scale AI/ML models across life sciences and healthcare; Build and deploy LLM-powered services using Azure OpenAI, Anthropic Claude, and OpenAI-compatible APIs; Architect and implement agentic AI and RAG workflows; Mentor engineers across the AI/ML lifecycle; Participate in Communities of Practice to influence engineering standards
Seniority
Senior, hands-on IC with technical leadership
