AI Systems Engineer

About the role

AI & Digital Health Innovation (AI&DHI) is the enabling engine for AI and digital health research at the University of Michigan, providing the infrastructure, tools, and expertise that help researchers move from idea to validated impact. We are seeking a full-time AI Systems Engineer to design, build, and maintain the systems and integrations that power AI-driven research and clinical tools across Michigan Medicine.

Responsibilities

• Design, build, and maintain data pipelines and AI systems that support research and clinical workflows across AI&DHI initiatives;
• Develop and manage containerized applications and services using Kubernetes (OpenShift), ensuring reliable, scalable deployment in secure research environments;
• Integrate AI tools and research platforms with institutional systems including MiChart, ChatGPT/Claude, REDCap, and other Michigan Medicine infrastructure;
• Architect and maintain backend systems that power AI-enabled research tools, including PRISM and HELPR LLM Tools;
• Partner with researchers, clinicians, and technical teams to translate requirements into well-engineered, production-ready systems;
• Ensure systems meet institutional security, compliance, and data governance standards, including HIPAA requirements for health data;
• Develop clear technical documentation for all systems, pipelines, and integrations.

Required Qualifications

• Systems Programmer/Analyst Sr
• Bachelor's degree in Computer Science, Software Engineering, a related field, or equivalent experience
• 3-5 years of experience developing and deploying AI tools and systems
• Hands-on experience with Kubernetes (OpenShift) for container orchestration and deployment
• Proficiency in Python or equivalent languages for data engineering and systems development
• Experience with cloud-native infrastructure and DevOps practices, including CI/CD pipelines and version control (Git)
• Experience integrating software systems with external APIs and enterprise platforms
• Strong communication skills, both oral and written, with the ability to work across technical and non-technical teams
• Strong organizational skills with attention to detail and accuracy

Desired Qualifications

• Master's degree in Computer Science, Data Engineering, Biomedical Informatics, or a related field
• Experience working with EHR platforms, particularly Epic/MiChart integrations
• Familiarity with large language model (LLM) APIs and AI tool deployment
• Experience with Linux/Unix environments for research computing
• Experience working with sensitive and confidential data regulated by HIPAA
• Experience with HL7 FHIR standards for health data interoperability

Why Join Michigan Medicine?

Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world's most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution.

Benefits

• Excellent medical, dental and vision coverage effective on your very first day
• 2:1 Match on retirement savings
• Modes of Work: Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time and for any reason throughout the course of employment.