AI maturity
scaling
Director of AIRemote
Director of Engineering, AI/ML
Stanford Health Care · Healthcare / Academic Medical Center · 📍 Palo Alto, CA
Stanford Health Care needs a hands-on engineering director to own the full-stack build-out of chatEHR — its internal GenAI clinical platform — scaling it from pilot to enterprise-grade tier-1 system trusted by thousands of clinicians.
Reports to
CTO
Company stage
enterprise
Source
linkedin
Key responsibilities
- Own and execute the technical vision and roadmap for the chatEHR GenAI clinical platform from pilot to tier-1 enterprise scale
- Recruit, lead, and mentor a high-performing team of software engineers and data scientists
- Oversee architecture and design of a scalable, secure, HIPAA-compliant GenAI platform with deep EHR integration
- Lead development of agentic AI frameworks, core platform infrastructure, and clinician-facing applications
- Ensure all AI applications adhere to healthcare regulations, data privacy laws, and ethical AI standards
- Bridge cutting-edge AI/ML research from Stanford School of Medicine with production-grade clinical systems
Requirements
- Hands-on engineering credibility — able to earn respect of senior technical team, not a distant manager
- Experience architecting and scaling production-grade AI/ML or GenAI platforms
- Deep familiarity with HIPAA, healthcare data privacy, and regulated software environments
- Experience building or integrating with EHR systems (e.g., Epic) and clinical workflows
- Proven ability to recruit and lead high-performing engineering teams
- Track record of taking AI products from pilot/prototype to enterprise-scale deployment
Signals
- ⚠ No salary range posted for a senior leadership role at a top-tier institution
- ⚠ Same role reposted within days/weeks of a prior identical posting — suggests urgency or difficulty closing
- ⚠ Stanford Health Care is a non-profit health system — likely below market on total comp vs. Big Tech
- ⚠ Role scope is extremely broad (architecture, compliance, agentic frameworks, team-building) with limited scoping of current team size
- ✓ Named internal platform (chatEHR) signals serious internal investment, not a vaporware initiative
- ✓ Explicit transition from pilot to tier-1 production — clear mandate with organizational backing
- ✓ Backed by Stanford School of Medicine research pipeline — elite AI talent ecosystem nearby
- ✓ Hybrid role at 1830 Embarcadero, Palo Alto — strong in-person collaboration culture
- ✓ Clinical AI at a top-5 academic medical center is a high-impact, high-visibility role
- ✓ Formal TDS Data Science Innovation unit signals structured org around AI
Company history
This is a reposting of the same role (Director Engineering - AI/ML) within the same posting cycle (both dated around 2026-05-30), suggesting either an applicant pipeline issue, difficulty closing a finalist, or aggressive parallel sourcing — not necessarily a failed prior hire, but worth clarifying in screening.