Applied AI Engineer

Applied AI Engineer The Center for Academic Innovation at the University of Michigan is seeking an Applied AI Engineer for a one-year post-graduate fellowship focused on practical AI prototyping, evaluation, platform operations, and knowledge transfer. Responsibilities include prototyping and testing AI-enabled workflows, supporting pilots, building evaluation datasets, implementing logging and access controls, establishing operating work for CAI's local AI server, and sharing practical guidance through demonstrations, office hours, and workshops. Required qualifications include a bachelor's degree in a relevant field, hands-on programming experience, experience building applications with large language models, experience using Git and working with cloud environments, designing tests or evaluations, working knowledge of software security, and ability to learn and use new technologies. This is a one-year term-limited fellowship with the possibility of annual renewal depending on funding and performance. Candidates must have legal authorization to work in the United States. The mode of work for this position is hybrid with a minimum of four days in the office per week, Monday through Thursday, with an option of remote work on Fridays. The general salary range for this position is $85,000 - $92,000. Candidates can expect to be paid a competitive and equitable salary. Factors used to determine salary include education level, experience, knowledge and skills for the position and salaries that are currently established within the unit. University of Michigan Flint