AI Engineer (AI Accelerator Program)
Summary
Build and deploy AI-driven healthcare applications, including LLMs and generative AI, by developing data pipelines, training models, and deploying solutions on cloud platforms like GCP/AWS/Azure.
AI Engineer (AI Accelerator Program)
Location: San Francisco, CA, United States
Job Summary:
This position requires 1 day onsite per week, based on business needs, this may increase.
UCSF Health is seeking a highly skilled AI Engineer to design, build, and deploy scalable AI-driven applications that improve clinical operations, patient care, and health system efficiency. This role spans the full AI lifecycle, including data pipeline development, model training and evaluation, and deployment of machine learning and generative AI solutions on modern cloud platforms.
The AI Engineer will translate emerging technologies, including large language models (LLMs), into production-ready tools that integrate with healthcare systems. Responsibilities include building robust data pipelines, deploying machine learning and generative AI models, and developing APIs or web-based applications that enable seamless use in clinical and operational workflows. This role works closely with clinicians, data scientists, and IT teams to deliver solutions that are reliable, secure, and scalable.
Competitive applicants for this position are software, data, or machine learning engineers with 5+ years of experience building AI systems in production. They have strong skills in Python and SQL, and hands-on experience with MLOps, CI/CD, and cloud platforms (e.g., GCP, AWS, or Azure). Candidates should be comfortable developing and maintaining data pipelines, deploying machine learning or generative AI models, and building APIs or lightweight web applications, with the ability to work across the stack and deliver practical, user-facing solutions in a healthcare environment.
Department Overview:
The Health AI team is part of the larger UCSF Health IT team and supports the development, implementation, and monitoring of artificial intelligence, machine learning, and other analytical tools, improving patient care, clinician experience, and health system operations. The team’s expertise spans data science, machine learning, software/data engineering, business, nursing informatics, and medical informatics.
UCSF Health IT provides clinical and informatics leadership to achieve the strategic priorities of UCSF Health, as enabled by technology. Health IT is a multidisciplinary team of clinicians and technology professionals that partners with clinical, business, and technology leaders throughout the organization, using information technology to improve the quality, safety, and value of care, and the patient and provider experience, for UCSF and its partner organizations.
