AI Systems Engineer — Remote, Kubernetes & AI Tools

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

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.