Director Engineering - AI/ML
About The Position
Stanford Health Care and the Stanford School of Medicine are building chatEHR, a secure, compliant generative AI platform intended to transform healthcare delivery, support medical research, and improve patient outcomes. The Director of Engineering will lead the technical development and strategic execution of the platform as it advances from pilot to a reliable, scalable clinical platform used by clinicians, researchers, and staff. This is a hands-on leadership role responsible for the platform’s core engineering, agentic frameworks, and user-facing applications. The Director will build and mentor an engineering and data science team, establish the technical roadmap with clinical and product leadership, and ensure AI applications meet healthcare regulatory, privacy, and ethical standards. The role also bridges AI research and clinical operations by turning research into production-ready capabilities and partnering with cross-functional stakeholders to identify and prioritize opportunities.
Requirements
- At least 10 years of software engineering experience, including at least 5 years in a senior leadership role managing software development teams.
- Proven record of leading teams that built, deployed, and scaled AI/ML products.
- Deep technical knowledge of the modern generative AI stack, including LLMs, retrieval-augmented generation, vector databases, and agentic frameworks.
- Expertise designing and building scalable cloud-native systems using GCP, AWS, or Azure, and container orchestration with Kubernetes.
- Strong experience with API design, microservices architecture, CI/CD, and MLOps principles.
- Ability to mentor engineers, set technical direction, and manage complex projects involving multiple stakeholders.
- Strong communication and interpersonal skills, including the ability to explain complex technical concepts to non-technical and clinical audiences.
- BS or MS in Computer Science, AI, or a related engineering field.
- Adhere to Stanford Health Care C-I-CARE standards and patient-centered interaction principles.
Nice To Haves
- PhD in Computer Science, AI, or a related field.
- Direct experience in healthcare, biotech, or life sciences, particularly with HIPAA, FHIR, or GxP.
- Experience building applications on Electronic Health Record systems such as Epic.
- Published AI/ML research or contributions to major open-source projects.
Responsibilities
- Recruit, lead, and mentor software engineers and data scientists, fostering innovation, collaboration, and technical excellence.
- Partner with clinical and product leadership to define and execute the chatEHR technical roadmap in alignment with organizational goals.
- Ensure AI applications adhere to HIPAA, data privacy laws, and ethical AI standards.
- Oversee architecture and design of a scalable, secure, and reliable generative AI platform, including integration with existing EHR systems and clinical workflows.
- Lead design and development of an agentic framework for creating and deploying AI-powered workflows.
- Manage development of user-facing chatEHR applications and publish platform APIs for enterprise-wide use.
- Manage concurrent development streams and releases, ensuring timely delivery and quality standards.
- Implement and oversee MLOps practices, including generative AI evaluation techniques in collaboration with the Chief Data Science Officer and GUIDE-AI lab members.
- Serve as the primary technical liaison between the engineering team and the Chief Data Science Officer’s lab, translating research into production-ready features.
- Collaborate with product management, user success, clinical staff, and researchers to identify and prioritize high-impact generative AI opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Director
