This individual contributor role is responsible for ensuring that AI-enabled clinical products and use cases are appropriately tested, evaluated, and documented prior to implementation and that evidence presented to the Council is rigorous, reproducible, and aligned with clinical risks, performance metrics, AI safety considerations, and defined success thresholds. 3+ years of hands-on experience developing, implementing, testing, or evaluating AI solutions, including predictive models, NLP systems, LLM-based applications, chatbots, retrieval-augmented generation (RAG) systems, or agentic workflows.