We're hiring a full-time Data and AI Engineer to design, build, and maintain the data systems, pipelines, and AI integrations that power research and clinical tools across Michigan Medicine. This role centers on data architecture, EHR data integration, database engineering, and technical consultation, with additional contributions to backend development, APIs, automation, and AI systems integration.
You'll sit at the intersection of data engineering and applied AI ? building robust, production-grade data pipelines, managing OpenShift/Kubernetes-based infrastructure, and integrating AI tools with platforms including Epic EHR, frontier and enterprise LLMs, and other services across the university. We're looking for a self-motivated engineer with strong experience in data systems development, container orchestration, and AI tool deployment who thrives in a collaborative, research-driven environment and enjoys solving complex technical problems that directly impact clinical and research outcomes.
This position is hybrid, based primarily from home with onsite opportunities in Ann Arbor, Michigan. A fully remote arrangement will be considered for exceptional candidates.