AI Engineer

Job Summary

The AI Engineers Program is a core component of Utah RAISE (Research & AI Infrastructure for a Statewide Ecosystem) and the broader University of Utah AI ecosystem. The program provides applied AI engineering expertise to complement the shared computing infrastructure to enable researchers, educators, and administrators at the U to adopt responsible and scalable AI adoption.

We are hiring a cohort of AI Engineers who can support design, development, and deployment of prototype to production-grade AI solutions for well-scoped and high-impact use cases. This cohort will focus on application-level work: model fine-tuning and adaptation, retrieval-augmented generation pipelines, agentic systems, and production-oriented ML engineering, and will help build durable, in-house capacity to support teaching, research, and innovation across the university.

The AI Engineers Program will be administered by the SCI Institute in coordination with the Office of Artificial Intelligence and the One-U Responsible AI Initiative to serve the broader University of Utah community and beyond.

Responsibilities

• Accelerate responsible AI integration across teaching and research, helping faculty and students move from ideas to production ready tools and prototypes.
• Support rapid experimentation, prototyping, and implementation, which is increasingly critical given how quickly AI technologies are evolving.
• Build and maintain shared tools, frameworks, and pipelines that can be reused across colleges and initiatives, reducing duplication and dependence on external vendors.
• Help operationalize governance, privacy, and security expectations by embedding them directly into AI solutions.
• Act as force multipliers, upskilling internal teams and supporting interdisciplinary collaboration.
• Collaborate with faculty, researchers, and other institutional partners to scope projects and define technical approaches.
• Provide mentorship and technical guidance to senior undergraduate and MS students in AI technologies and application development.
• Contribute to open-source software and promote reproducible research practices, helping to foster a culture of transparency and reuse across campus.
• Design and deliver workshops, training sessions, and educational materials on AI tools and methods.
• Provide technical consulting to the campus community through structured office hours and project-based engagements.

Minimum Qualifications

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, II: Requires a bachelor's (or equivalency) + 4 years or a master's (or equivalency) + 2 years of directly related work experience.

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, IV: Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.