Applied AI Engineer

Company: The University of Michigan

Location: Ann Arbor, MI 48109 (Remote)

Salary: $85,000 - $92,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-10-13

About this role

## How to Apply

A cover letter and resume are important submissions for the hiring team to get a sense of your experience. In the cover letter, in two pages or less, please let us know how this role aligns with your career aspirations and skill set. Submit both a cover letter and resume as one file (because of system limitations).

## Who We Are

About the Center for Academic Innovation

Through curricular innovation, tools for student success, and educational research and analytics, the University of Michigan Center for Academic Innovation is building the future of education. Our vision is a future in which education connects and empowers learners everywhere to reach their full potential throughout their lives. To realize our vision, we make it our mission to collaborate across campus and around the world to create equitable, lifelong educational opportunities for learners everywhere.

About the Technology Infrastructure and Support Team

The TIS team builds and maintains the technology behind CAI's learning, media, and IT work. Our work spans Michigan Online infrastructure, cloud storage, cybersecurity, disaster recovery, studio production, XR, AV systems, media asset management, and internal support. TIS is also home to the AI Enablement Team, which partners with teams across the Center to test promising ideas and turn the ones that work into tools and workflows people can rely on. Working closely with Creative Studios, Operations, and product engineering teams, we keep CAI's systems dependable and secure so learners, faculty, and staff can focus on their work.

For more information, please visit our website: Academic Innovation.

## Responsibilities\*

  • Prototype and test AI-enabled workflows for CAI projects selected through intake, building lightweight applications, connectors, retrieval pipelines, and automations that integrate with existing CAI systems
  • Support pilots with domain experts, collect user feedback, diagnose failures, a...

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