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

• Requires a bachelor’s (or equivalency) +
  6 years or a master’s (or equivalency) + 4 years of directly related work experience. Assumes work equivalency (1 year of higher education
  can be substituted for 1 year of directly related work experience).
• Professional experience working in technical roles involving
  complex software-based systems, research computing environments, or data-driven applications, with responsibilities beyond routine
  execution.
• Evidence of applying advanced technical concepts independently, including systems design, problem decomposition, and
  implementation choices, in environments with incomplete or evolving requirements.
• Demonstrated experience collaborating with
  non-peer stakeholders (e.g., researchers, faculty, clients, domain experts, or organizational partners) to translate needs or ideas into
  technical work.
• Professional experience operating in environments requiring judgment, discretion, and ethical or policy awareness,
  such as academic, research, healthcare, government, regulated industry, or similarly constrained settings.
• Prior experience guiding
  or supporting others’ technical work, such as mentoring, advising, leading technical components of projects, or providing consultative
  support.

Demonstrated ability to communicate technical work clearly in written and verbal form to audiences with varying levels of
technical expertise.

Preferences

• Demonstrated ability to effectively collaborate with researchers and stakeholders
  across disciplines and levels of technical expertise.
• Experience in one or more relevant technical domains supporting applied AI
  development, such as machine learning systems engineering, LLM/GenAI application development, software engineering (e.g., Python, C++,
  JavaScript), cloud computing, distributed systems, or full-stack development
• Broad familiarity with AI and research computing and
  data practices, with the ability to apply sound technical judgment to design, build, and deploy projects with a high degree of independence
  and creativity.
• Ability to identify collaboration opportunities and initiatives that would benefit from applied AI integration and
  partnership with SCI and related programs.
• Demonstrated experience developing and applying AI/ML techniques (e.g., model training
  and fine-tuning, large language models, retrieval-augmented generation, or scalable ML systems) in research, scientific, or
  production-oriented contexts.

Special Instructions

Requisition Number: PRN45104B
Full Time or Part
Time? Full Time
Work Schedule Summary: Monday – Friday 8am-5pm.
Department: 00810 – Scient Comp & Imag
Instit-Oper
Location: Campus
Pay Rate Range: 100,000-135,000
Close Date: 8/19/2026
Open Until
Filled:

To apply, visit https://utah.peopleadmin.com/postings/202322

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Tagged as: Employment