Job Description

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