AI Systems Engineer

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. 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 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- 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 deploymentExperience 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 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. 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 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. 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. #J-18808-Ljbffr University of Michigan - Ann Arbor