University of Michigan

AI Systems Engineer

University of Michigan$110K — $130K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 3-5 years of experience developing and deploying AI tools and systems
  • Hands-on experience with Kubernetes and OpenShift for container orchestration
  • Proficiency in Python or equivalent for data engineering
  • Experience with cloud-native infrastructure and CI/CD practices
  • Strong communication skills for technical and non-technical collaboration
  • Meticulous attention to detail in organizational tasks.

Responsibilities

  • Design, build, and maintain data pipelines for research and clinical workflows
  • Develop and manage containerized applications using Kubernetes
  • Integrate AI tools with institutional systems such as Epic and REDCap
  • Architect backend systems for AI-enabled research tools
  • Collaborate with research and clinical teams to translate requirements into systems
  • Ensure compliance with security and data governance standards including HIPAA
  • Create technical documentation for systems and integrations.

Benefits

  • Excellent medical, dental, and vision coverage from day one
  • 2:1 match on retirement savings plan.
Full Job Description
How to Apply

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

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
  • Hands-on experience with Kubernetes (OpenShift experience a bonus) 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

Required Qualifications- Systems Programmer/Analyst Intermediate
  • Bachelor's degree in Computer Science, Software Engineering, a related field, or equivalent experience
  • 2-3 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*

Desired Qualifications- Systems Programmer/Analyst Sr
  • 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
  • Familiarity with HL7 FHIR standards for health data interoperability

Desired Qualifications-Systems Programmer/Analyst Intermediate
  • 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
  • Familiarity with HL7 FHIR standards for health data interoperability

What Benefits can you Look Forward to?
  • 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. Learn more about the work modes .

Underfill Statement

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

Application Deadline

Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

Job Detail

Job Opening ID

280699

Working Title

AI Systems Engineer

Job Title

Systems Programmer/Analyst Sr

Work Location

Ann Arbor Campus

Ann Arbor, MI

Modes of Work

Hybrid

Full/Part Time

Full-Time

Regular/Temporary

Regular

FLSA Status

Exempt

Organizational Group

Exec Vp Med Affairs

Department

MM AI&DHI

Posting Begin/End Date

7/27/2026 - 8/10/2026

Career Interest

Information Technology

About University of Michigan

The University of Michigan is a public research university in Ann Arbor, Michigan. It is the state's oldest university and the flagship campus of the University of Michigan system. The University of Michigan was founded in 1817 in Detroit, as the Catholepistemiad, or University of Michigania, 20 years before the territory became a state. The school moved to Ann Arbor in 1837 onto 40 acres (16 ha) of what is now known as Central Campus. Since its establishment in Ann Arbor, the university campus has expanded to include more than 584 major buildings with a combined area of more than 34 million gross square feet (781 acres or 3.16 km²), and has two satellite campuses located in Flint and Dearborn. The University of Michigan is a founding member of the Association of American Universities.
Learn more about University of Michigan
Size
50,000 employees
Industry
Founded
1817

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