AI Systems Engineer - The University of Michigan

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components: patient care, education and research that together enhance our contribution to society.

Job Summary

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.

This role sits at the intersection of data engineering and AI systems development. building robust pipelines, managing OpenShift/Kubernetes-based infrastructure, and integrating AI tools with platforms such as Epic EHR, frontier/enterprise LLMs, and other services offered throughout the university. We are looking for a self-motivated engineer with a strong background in systems development, container orchestration, and AI tool deployment who thrives in a collaborative, research-driven environment.

This position is hybrid, primarily working from home with onsite opportunities in Ann Arbor. A fully remote role would be considered for the right candidate.

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*

• 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