AI Engineer (AI Accelerator Program)

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UCSF Health is hiring an AI Engineer to design, build, and deploy scalable AI-driven applications that improve clinical operations, patient care, and health system efficiency. The role spans the full AI lifecycle, from data pipeline development and model training to deploying machine learning and generative AI solutions on cloud platforms. You will translate emerging technologies such as LLMs into production-ready tools integrated with healthcare systems, working closely with clinicians, data scientists, and IT teams.

• Build and maintain data integration and transformation pipelines using SQL databases and APIs
• Deploy, monitor, and maintain AI/ML models and pipelines with MLOps practices including CI/CD and model versioning
• Design and develop APIs, services, or lightweight web applications to integrate AI/ML and generative AI into clinical workflows
• Develop and deploy generative AI solutions including prompt engineering, RAG, and evaluation frameworks
• Implement real-time or near real-time data processing and low-latency inference systems
• Collaborate with data scientists to monitor AI/ML tools for safety, bias, drift, performance, and validity

• Bachelor's degree in a related area and/or equivalent experience
• 5+ years designing, implementing, and maintaining complex AI/ML applications
• Advanced Python and SQL skills
• Experience with ML tools such as Jupyter, Pandas, scikit-learn, NumPy/SciPy, PyTorch
• Hands-on experience with MLOps, CI/CD, and cloud platforms (GCP, AWS, or Azure)
• Experience deploying and monitoring AI/ML models and pipelines
• Experience designing APIs or microservices for AI/ML applications
• Experience with LLMs including prompt engineering, evaluation, and production deployment
• Experience with real-time or streaming data processing and low-latency inference
• Strong communication and problem-solving skills

• Master's or PhD in Computer Science, Computer Engineering, or related field
• Epic Clarity or Clinical Data Model experience
• Familiarity with data visualization tools such as Tableau
• Experience with Epic data structures