Artificial Intelligence (AI) / Machine Learning (ML) Engineers

Edtech.com's Summary

University of Utah is hiring Artificial Intelligence (AI) / Machine Learning (ML) Engineers. The role involves designing, developing, and deploying prototype to production-grade AI solutions, focusing on application-level tasks such as model fine-tuning, retrieval-augmented generation pipelines, and production ML engineering while supporting teaching, research, and innovation across the university.

Highlights

Support responsible AI integration across teaching and research, helping transition ideas into production tools and prototypes.

Engage in rapid experimentation, prototyping, and implementation of evolving AI technologies.

Develop and maintain shared AI tools, frameworks, and pipelines to minimize duplication and reliance on external vendors.

Embed governance, privacy, and security protocols directly into AI solutions.

Collaborate with faculty, researchers, and institutional partners to scope projects and define technical approaches.

Provide mentorship and technical guidance to senior undergraduate and MS students in AI technologies.

Contribute to open-source software and promote reproducible research practices campus-wide.

Design and conduct workshops, training sessions, and develop educational materials on AI methods.

Required qualifications vary by level, with Bachelor’s plus 4-8 years or Master’s plus 2-6 years of related experience needed.

Preferred skills include machine learning systems engineering, LLM/GenAI application development, software engineering (Python, C++, JavaScript), cloud computing, and experience collaborating across disciplines.

Compensation range: $100,000 to $135,000 annually.

Position is full-time (40 hours/week) with standard Monday to Friday day shift schedule supporting the Scientific Computing & Imaging Institute and the broader university community.

Artificial Intelligence (AI) / Machine Learning (ML) Engineers Full Description

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Announcement

Details

Open Date	05/19/2026
Requisition Number	PRN45104B
Job Title	Artificial Intelligence (AI) / Machine Learning (ML) Engineers
Working Title	AI Engineer
Career Progression Track	P00
Track Level	P4 - Advanced, P3 - Career, P2 - Developing
FLSA Code	Computer Employee
Patient Sensitive Job Code?	No
Standard Hours per Week	40
Full Time or Part Time?	Full Time
Shift	Day
Work Schedule Summary	Monday – Friday 8am-5pm.
VP Area	Academic Affairs
Department	00810 - Scient Comp & Imag Instit-Oper
Location	Campus
City	Salt Lake City, UT
Type of Recruitment	External Posting
Pay Rate Range	100,000-135,000
Close Date	08/19/2026
Priority Review Date (Note - Posting may close at any time)
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.
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. 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.
Type	Benefited Staff
Special Instructions Summary
Additional Information	The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen. The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non‑Discrimination page. Online reports may be submitted at https://oeo.utah.edu https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South. As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

Posting Specific Questions

Required fields are indicated with an asterisk (*).

* What is your highest level of completed education?
- None
- High School Diploma or Equivalent
- Associate Degree
- Bachelor's Degree
- Master's Degree
- Doctorate Degree
* How many years of related work experience do you have?
- Less than 6 years
- 6 years or more, but less than 9 years
- 9 years or more, but less than 12 years
- 12 years or more, but less than 15 years
- 15 years or more

Applicant Documents

Required Documents

Resume
Cover Letter
List of References

Optional Documents

University Human Resource Management
250 East 200 South, Suite 125 Salt Lake City, UT 84111
Contact us: (801) 581-2169 By Email: employment@utah.edu

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.

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Original Job Description

Toggle navigation

Artificial Intelligence (AI) / Machine Learning (ML) Engineers Bookmark this Posting Print Preview | Apply for this Job

Announcement

Details

Open Date	05/19/2026
Requisition Number	PRN45104B
Job Title	Artificial Intelligence (AI) / Machine Learning (ML) Engineers
Working Title	AI Engineer
Career Progression Track	P00
Track Level	P4 - Advanced, P3 - Career, P2 - Developing
FLSA Code	Computer Employee
Patient Sensitive Job Code?	No
Standard Hours per Week	40
Full Time or Part Time?	Full Time
Shift	Day
Work Schedule Summary	Monday – Friday 8am-5pm.
VP Area	Academic Affairs
Department	00810 - Scient Comp & Imag Instit-Oper
Location	Campus
City	Salt Lake City, UT
Type of Recruitment	External Posting
Pay Rate Range	100,000-135,000
Close Date	08/19/2026
Priority Review Date (Note - Posting may close at any time)
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.
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. 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.
Type	Benefited Staff
Special Instructions Summary
Additional Information	The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules. This position may require the successful completion of a criminal background check and/or drug screen. The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both. To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non‑Discrimination page. Online reports may be submitted at https://oeo.utah.edu https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South. As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

Posting Specific Questions

Required fields are indicated with an asterisk (*).

* What is your highest level of completed education?
- None
- High School Diploma or Equivalent
- Associate Degree
- Bachelor's Degree
- Master's Degree
- Doctorate Degree
* How many years of related work experience do you have?
- Less than 6 years
- 6 years or more, but less than 9 years
- 9 years or more, but less than 12 years
- 12 years or more, but less than 15 years
- 15 years or more

Applicant Documents

Required Documents

Resume
Cover Letter
List of References

Optional Documents

University Human Resource Management
250 East 200 South, Suite 125 Salt Lake City, UT 84111
Contact us: (801) 581-2169 By Email: employment@utah.edu

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Artificial Intelligence (AI) / Machine Learning (ML) Engineers

Edtech.com's Summary

Artificial Intelligence (AI) / Machine Learning (ML) Engineers Full Description

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