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Day - 08 Hour (United States of America)
This is a Stanford Health Care job.
A Brief Overview
The Product Engineer – AI/ML bridges technical strategy, hands-on software development, and applied AI delivery. Operating in a forward-deployed capacity, this role works directly with operational and clinical stakeholders to uncover root challenges, prototype solutions, and build high-value AI capabilities.
Unlike traditional product or project management roles focused solely on static specifications, the Product Engineer – AI/ML maintains end-to-end execution ownership—writing production-capable code, configuring AI model workflows (such as RAG and foundation APIs), and driving initial 0→1 implementation. Working alongside Data Scientists and Core Platform Engineering this role ensures AI solutions deliver measurable impact.
Locations
Stanford Health Care
What you will do
Partner directly with operational and clinical teams to probe and identify root-cause challenges rather than passively receiving feature requests.
Design, build, and iterate on working prototypes using programming languages such as Python, modern APIs, LLM orchestration frameworks, and retrieval systems.
Evaluate operational bottlenecks to determine whether simple automation, rule-based logic, or generative AI models represent the best technical approach.
Balance technical tradeoffs across model accuracy, execution latency, maintainability, and operational inference costs.
Integrate prototypes with health system data stores, enterprise APIs, and operational workflow tools.
Collaborate with Data Science teammates to pass solutions through formal evaluation harnesses prior to enterprise deployment.
Participate in constructing test suites to measure and mitigate model hallucinations, errors of omission, and factual inaccuracies.
Ensure alignment with healthcare data privacy policies, HIPAA regulations, and institutional AI governance standards.
Partner with Data and Software Engineers to transition validated prototypes to enterprise-grade platforms.
Education Qualifications
Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related quantitative field (or equivalent practical experience). Master’s degree preferred.
Experience Qualifications
3–5+ years of progressive experience in data science, software engineering, applied AI engineering, or technical product development.
Experience working in healthcare, health tech, or complex regulated enterprise environments.
Required Knowledge, Skills and Abilities
Excellent communication, interpersonal, problem-solving, and analytical skills.
Knowledge and understanding of healthcare informatics related technologies and standards.
Proven ability to manage complex projects with multiple stakeholders and competing priorities.
Preferred Knowledge, Skills and Abilities
Proficiency in Python and SQL; experience working with REST APIs, web services, and modern development workflows.
Hands-on experience with foundation model APIs, Retrieval-Augmented Generation (RAG), vector databases, and AI orchestration frameworks.
Familiarity with enterprise data structures, cloud data platforms, and data privacy governance.
Strong ability to analyze operational workflows, probe for root causes, and translate business needs into technical solutions.
Physical Demands and Work Conditions
Blood Borne Pathogens
Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks
These principles apply to ALL employees:
SHC Commitment to Providing an Exceptional Patient & Family Experience
Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees…