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Director Engineering - AI/ML

United States, Palo Alto Employment contract 112.39 - 148.91 USD / Hour · Job Posted May 29, 2026
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Job Description

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
  • PhD in Computer Science, AI, or a related field

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