M Tech Jobs in Utah (NOW HIRING)

Announcement
Details
Open Date
07/22/2026
Requisition Number
PRN45702B
Job Title
IT Software Engineers
Working Title
AI Platform Engineer III
Career Progression Track
P00
Track Level
P3 - Career
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
M-F 8-5
VP Area
President
Department
00428 - UIT - Network & Comm. Srvs
Location
Campus
City
Salt Lake City, UT
Type of Recruitment
External Posting
Pay Rate Range
$100,000-125,000
Close Date
08/15/2026
Priority Review Date (Note - Posting may close at any time)
Job Summary
AI Platform Engineer III
The AI Platform Engineer III is responsible for designing, developing, implementing, governing, and supporting enterprise artificial intelligence solutions across the University. This position serves as a technical leader for generative AI platforms, AI-powered applications, custom agents, workflow automation, and enterprise AI adoption.
The successful candidate will possess demonstrated experience administering enterprise AI platforms, developing custom AI agents and GPTs, implementing agentic workflows, applying advanced prompt engineering techniques, and building AI-powered business solutions that improve productivity, automate business processes, support financial reporting and analysis, and enhance decision-making.
This position works closely with university leadership, researchers, business units, developers, security teams, and technology partners to identify, develop, and operationalize high-value AI use cases. Responsibilities include AI platform administration, AI solution architecture, agent development, AI governance, enterprise integrations, and business process automation.
This is not an entry-level AI position. Candidates must demonstrate prior hands-on experience working with enterprise AI platforms, large language models, agentic frameworks, custom AI agents, and AI solution development. The selected candidate will be expected to contribute immediately as an experienced AI practitioner.
About UIT: University Information Technology (UIT), the central IT service provider for the University of Utah, reports to the U's Chief Information Officer and is responsible for many of the U's shared IT services including the wired and wireless network; Campus Information Services (CIS) portal; UMail, telephone, and online collaboration; digital learning technologies; information security; software licensing; and a host of other IT systems and services.
About the University of Utah: Located in Salt Lake City, the U is the flagship institution of the State of Utah's system of higher education, home to arts and museum venues and a member of the BIG-12 Conference. Skiing and snowboarding opportunities are a short distance from campus, and opportunities to pursue activities from biking to hiking to fishing abound. Salt Lake City is home to the Utah Symphony and Opera, Ballet West, professional sports teams, and a wide range of other cultural and recreational activities.
Responsibilities
AI Platform Engineer III

• Design, develop, deploy, and support enterprise AI solutions that improve productivity, automate business processes, and deliver measurable business value.
• Build and maintain custom AI agents, GPTs, copilots, and agentic workflows that support academic, administrative, operational, research, and financial use cases.
• Administer and optimize enterprise AI platforms including OpenAI ChatGPT Enterprise, Anthropic Claude Enterprise, Microsoft Copilot, Google Gemini, NotebookLM, AWS Bedrock, Azure AI Foundry, Microsoft Fabric, and future University-approved AI services
• .Develop AI-powered solutions for financial reporting, business intelligence, executive reporting, operational analytics, forecasting, workflow automation, and decision support.
• Design and implement advanced AI architectures utilizing Model Context Protocol (MCP), retrieval augmented generation (RAG), tool integrations, orchestration frameworks, enterprise knowledge systems, and API-based solutions.
• Create, test, evaluate, and optimize prompts, workflows, instructions, and AI evaluation frameworks to improve solution quality, reliability, accuracy, and user adoption.
• Develop integrations between AI platforms and enterprise systems using APIs, automation platforms, cloud services, databases, and business applications.
• Administer AI governance, security, compliance, identity management, access controls, licensing, usage monitoring, and operational standards while ensuring responsible and secure use of AI technologies.
• Collaborate with University leadership, business units, and technical teams to identify, evaluate, prototype, and operationalize high-value AI use cases and emerging technologies.
• Provide technical leadership, consulting, documentation, training, troubleshooting, and production support for enterprise AI platforms, AI-powered solutions, and AI engineering best practices.

Job Code: P38263
Grade: P21
Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
IT Software Engineer, III: Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
Preferences
MINIMUM QUALIFICATIONS:

• Minimum one (1) year of hands-on professional experience working with generative AI platforms and large language models in a production or enterprise environment. This requirement is mandatory and cannot be substituted.
• Experience designing, developing, and deploying production AI agents, custom GPTs, copilots, intelligent assistants, and agentic workflows.
• Demonstrated expertise in prompt engineering, prompt optimization, AI evaluation methodologies, and improving AI solution accuracy and performance.
• Experience building AI-powered solutions for financial reporting, business intelligence, operational analytics, executive reporting, forecasting, process automation, and decision support.
• Knowledge of AI governance, security, privacy, compliance, and responsible AI practices.

PREFERRED QUALIFICATIONS:

• Two or more years of hands-on experience working with enterprise generative AI technologies and large language models.
• Experience administering and supporting enterprise AI platforms such as OpenAI ChatGPT Enterprise, Anthropic Claude Enterprise, Microsoft Copilot, Google Gemini Enterprise, AWS Bedrock, Azure AI Foundry, Microsoft Fabric, or similar technologies.
• Experience implementing and supporting agentic AI architectures, including Model Context Protocol (MCP), retrieval augmented generation (RAG), tool integrations, and AI orchestration frameworks.
• Experience with cloud AI platforms and services including AWS SageMaker, AWS Bedrock, Azure AI Foundry, Microsoft Fabric, Google Vertex AI, or comparable environments.
• Experience integrating AI platforms with enterprise applications, APIs, databases, cloud services, and business workflows.
• Experience with Microsoft 365, Microsoft Entra ID, Google Workspace, Grouper, or comparable identity and collaboration platforms.
• Proficiency with Python, PowerShell, REST APIs, JSON, automation frameworks, or related technical skills.
• Experience working in higher education, research computing, academic technology, or other complex institutional environments.
• Experience supporting faculty, researchers, students, and university administrative functions is strongly preferred.
• Experience with vector databases, embeddings, semantic search, enterprise search, knowledge management systems, and retrieval augmented generation (RAG) solutions.
• Experience leading AI proof-of-concepts, pilot projects, enterprise AI adoption initiatives, and cross-functional AI solution development efforts.

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.