• Lead the design and evolution of agentic systems that participate directly in care delivery, helping coordinate care, engage patients, and execute meaningful portions of care workflows. • Define and build architectural patterns for agent reasoning, tool use, memory, and human-in-the-loop collaboration. • Develop both reusable platform capabilities and product-facing implementations, balancing long-term architecture with rapid iteration. • Own complex problem spaces end-to-end — from system design and implementation through observability, evaluation, and continuous improvement in production. • Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. • Establish standards and best practices for agent evaluation, safety, and operational reliability as these systems evolve toward greater autonomy. • Mentor engineers and influence technical direction across teams building agent-driven capabilities.