• Lead the architecture, delivery, and continuous improvement of agentic AI systems across multiple healthcare domains • Own complex initiatives end-to-end—setting technical direction, establishing quality and safety bars, and mentoring engineers • Ensure solutions are compliant, reliable, and cost-efficient at scale • Collaborate with cross-functional teams—including product managers, data engineers, and clinical experts—to develop solutions that are HIPAA/HITECH compliant, clinically relevant, and technically robust • Drive model selection, fine-tuning, evaluation design, red-teaming, and continuous feedback loops; codify standards for RAG, prompt governance, and context management • Use agentic frameworks (e.g., LangChain/LangGraph) to design modular, scalable agent architectures • Scale and harden production deployments with monitoring, drift detection, prompt/version control, A/B/ABn frameworks, cost/perf segmentation, and rollback playbooks • Partner with product/clinical leaders to define multi-quarter roadmaps and success metrics; translate clinical workflows into agent capabilities • Mentor & elevate the team: code reviews, design docs, internal talks, and guiding other engineers