Lead a team of up to 12 engineers to build and operate critical parts of an AI-native healthcare automation platform. Drive technical execution, architecture, reliability, incident response, hiring, onboarding, and cross-functional execution while ensuring enterprise security, compliance, and scalable customer deployments.

Lead technical direction and implementation of production AI agent systems for healthcare. Build and maintain reliable automation runtimes, workflow engines, observability, model integrations, and human-in-the-loop recovery. Drive ambiguous backend/full‑stack projects, improve engineering practices, and mentor engineers while remaining hands‑on in code.

Lead technical execution for complex customer deployments of agentic AI: design workflows, write prompts, build integrations, debug systems, coach engineers, improve reliability, and translate customer needs into reusable platform improvements.