AI Systems Engineer

About the role

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.

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

• 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;
• 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;
• 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;