Director, AI/ML
Core
Define technical vision and architecture for traditional ML, Generative AI, and agentic AI systems to transform diverse healthcare data into scalable AI solutions that drive better decisions for patients and the business.
Role type
Senior individual-contributor Director, AI/ML
Builds
Resilient, governed, production-ready AI systems (LLMs, multi-agent systems) for commercial and medical use cases.
Domain
Healthcare / Pharmaceutical / Commercial Analytics
Deliverable
production ML models
Required skills
Generative AI and LLMs (fine-tuning, distillation, RAG), Agentic AI (multi-agent systems, orchestration, guardrails), Machine learning foundations (transformers, PyTorch/TensorFlow), Python, SQL, Cloud and MLOps (AWS SageMaker/Bedrock, MLflow, Docker), Evaluation and observability
Preferred skills
Reinforcement learning (RLHF, RLAIF), Knowledge graphs, NLP, Data pipeline tooling (Airflow, Spark), Pharmaceutical/healthcare domain experience
Technologies
Amazon Bedrock AgentCore, LangGraph, Strands, AutoGen, PyTorch, TensorFlow, AWS SageMaker, AWS Bedrock, MLflow, Docker, Airflow, Spark
Responsibilities
Define technical vision and roadmap for AI capabilities; Lead design of multi-agent systems and LLM applications; Establish standards for evaluation, benchmarking, and quality gates; Drive model optimization (fine-tuning, distillation, RL); Set standards for production observability and cost management; Mentor senior data scientists and ML engineers
Seniority
Senior, hands-on IC
