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We are looking for a rare combination of hands-on technical leader and strategic thinker to own the engineering vision for chatEHR as we mature from a pilot into a tier 1 clinical platform. This is not a role for someone who manages from a distance -- you will need the credibility to earn the respect of a talented engineering team, the organizational savvy to navigate a complex health system, and the vision to bridge cutting-edge research with real-world clinical application. You will be responsible for building the infrastructure, environments, and engineering discipline that transforms chatEHR into a reliable, scalable platform trusted by thousands of clinicians -- while staying ahead of a fast-moving AI landscape. If you are energized by the intersection of pioneering research and production-grade systems, and you know how to shepherd ambitious ideas into operational reality, this role was built for you.
Job Responsibility
Leadership & Strategy: Build & Mentor: Recruit, lead, and mentor a high-performing team of software engineers and data scientists
Define the Vision: Partner with clinical and product leadership to develop and execute a strategic technical roadmap for the chatEHR platform
Ensure Compliance & Ethics: Serve as the key engineering leader responsible for ensuring all AI applications adhere to strict healthcare regulations (HIPAA), data privacy laws, and ethical AI standards
Technical Delivery & Execution: Platform Architecture: Oversee the architecture and design of a scalable, secure, and reliable GenAI platform
Agentic Frameworks: Lead the design and development of a sophisticated agentic framework for Stanford Healthcare
API & Application Development: Manage the development of user-facing chatEHR applications and publish a comprehensive set of platform APIs
Release Management: Manage multiple concurrent development streams and releases
Modern MLOps: Implement and oversee robust MLOps practices
Collaboration: Bridge Research & Practice: Act as the primary technical liaison between engineering team and partners in the Chief Data Science Officer's lab
Engage Stakeholders: Work closely with cross-functional teams to identify and prioritize high-impact opportunities for GenAI
Requirements
10+ years of experience in software engineering, with at least 5+ years in a senior leadership role (Manager, Senior Manager, or Director) managing software development teams
Proven track record of leading teams that have successfully built, deployed, and scaled AI/ML products
Deep technical knowledge of the modern GenAI stack, including LLMs, retrieval-augmented generation (RAG), vector databases, and agentic frameworks
Expertise in designing and building scalable, cloud-native systems (GCP, AWS, or Azure) and container orchestration (Kubernetes)
Strong experience with API design, microservices architecture, CI/CD, and MLOps principles
Exceptional ability to mentor engineers, set technical direction, and manage complex projects with multiple stakeholders
Outstanding communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical and clinical audiences
BS or MS in Computer Science, AI, or a related engineering field
Nice to have
Direct experience in the healthcare, biotech, or life sciences industry, particularly with standards like HIPAA, FHIR, or GxP
Experience building applications on top of Electronic Health Record (EHR) systems like Epic
A portfolio of published research in AI/ML or contributions to major open-source projects