AI Systems Engineer

University Of Michigan; Michigan; Hybrid; USD 110,000 - 160,000; Full time

Job summary

University of Michigan is seeking a full-time AI Systems Engineer to design, build, and maintain AI-driven research and clinical tool pipelines across Michigan Medicine.

This hybrid role combines data engineering with AI systems development, including OpenShift/Kubernetes, MiChart integrations, and LLM tool deployment in secure environments. Remote options may apply for the right candidate.

Qualifications

• 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.

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.

Skills

Kubernetes (OpenShift)

Python

CI/CD (Git)

APIs & enterprise platforms

Communication

Organization

Education

Bachelor's degree in Computer Science / Software Engineering or related field

Master's degree in Computer Science / Data Engineering (preferred)

Tools

OpenShift

Job description

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.

Who We Are

AI&DHI serves as the operational backbone for AI and digital health research at U-M, spanning faculty, researchers, and clinicians across 75 departments and 17 schools and colleges. Our team provides the data infrastructure, AI tools, systems integrations, and research enablement services that help investigators translate promising ideas into validated, deployable innovations. We partner closely with Michigan Medicine, Michigan Engineering, and other institutional units to deliver services researchers can rely on.

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
• 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

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 30,000employees 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. Work at Michigan Medicine and become a victor for the greater good.

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.

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third-party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Reporting Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline

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

U-M EEO Statement

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.