ZipRecruiter

Log In

1

Ai Residency Program Jobs in Utah (NOW HIRING)

Imh

Medical Assistant WorkMed PRN

Cedar City, UT · On-site

$20.07 - $28.59/hr

... yearlong MA residency program Preferred Qualifications * Experience in an outpatient clinic or ... At Intermountain Health, we usethe artificial intelligence ("AI") platform, HiredScore to improve ...

Imh

Medical Assistant InstaCare

Cedar City, UT

$20.07 - $28.59/hr

... yearlong MA residency program Preferred Qualifications * Experience in an outpatient clinic or ... At Intermountain Health, we usethe artificial intelligence ("AI") platform, HiredScore to improve ...

Imh

$20.07 - $28.59/hr

... yearlong MA residency program Preferred Qualifications * Experience in an outpatient clinic or ... At Intermountain Health, we usethe artificial intelligence ("AI") platform, HiredScore to improve ...

Imh

Medical Assistant Float Pool PRN

Cedar City, UT · On-site

$20.07 - $28.59/hr

... yearlong MA residency program Preferred Qualifications * Experience in an outpatient clinic or ... At Intermountain Health, we usethe artificial intelligence ("AI") platform, HiredScore to improve ...

Intermountain Health

Physician - Rheumatology

Logan, UT

$7.25 - $999.99/hr

Residency training in Internal Medicine * Board certification or eligibility in Rheumatology ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

Intermountain Health

Rheumatology Physician

Logan, UT

$0.18 - $25/hr

Residency training in Internal Medicine * Board certification or eligibility in Rheumatology ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

Intermountain Health

Rheumatology Physician

Logan, UT · On-site

$7.25 - $999.99/hr

Residency training in Internal Medicine * Board certification or eligibility in Rheumatology ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

Intermountain Health

Physician - Rheumatology

Logan, UT · On-site

$7.25 - $999.99/hr

Residency training in Internal Medicine * Board certification or eligibility in Rheumatology ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

Intermountain Health

Physician - Rheumatology

Logan, UT

$7.25 - $999.99/hr

Residency training in Internal Medicine * Board certification or eligibility in Rheumatology ... At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve ...

Epicor

Product Developer

Lehi, UT · Hybrid

Leverage AI-assisted development tools to improve coding efficiency, testing effectiveness, and ... Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your ...

Epicor

Associate Manager, Product Development

Lehi, UT · Hybrid

$107K - $134K/yr

Experience developing AI pipelines, AI-powered endpoints, or agent-supported architectures. #LI-DW ... Geographically specific programs to balance the cost of education with the benefits of continued ...

next page

Showing results 1-20

All JobsAi Residency Program JobsAi Residency Program Jobs in Utah

Ai Residency Program information

See Utah salary details

$22.8K

$82.4K

$107K

How much do ai residency program jobs pay per year?

As of Aug 2, 2026, the average yearly pay for ai residency program in Utah is $82,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $106,100.00 per year, depending on experience, location, and employer.

What is an AI Residency Program?

An AI Residency Program is a structured, typically year-long opportunity designed for individuals interested in gaining hands-on experience and mentorship in artificial intelligence research and development. These programs are often hosted by tech companies or research institutions and pair residents with leading AI researchers to work on cutting-edge projects. Residents participate in seminars, collaborate on publications, and often contribute to real-world AI applications. The goal is to bridge the gap between academia and industry, providing residents with the practical skills and knowledge needed for a career in AI.

What are the key skills and qualifications needed to thrive as an AI Residency Program participant, and why are they important?

To excel in an AI Residency Program, you typically need a strong background in computer science, mathematics, and machine learning, often demonstrated by an advanced degree or relevant research experience. Proficiency with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help residents contribute to collaborative research and complex projects. These qualifications are crucial for driving innovation, conducting impactful research, and successfully transitioning to advanced AI roles.

What types of projects do participants typically work on during an AI Residency Program?

AI Residency Programs usually immerse participants in real-world, cutting-edge machine learning and artificial intelligence projects, often in collaboration with experienced researchers and engineers. Projects may include developing novel algorithms, improving existing models, or applying AI techniques to solve industry-specific problems such as natural language processing, computer vision, or robotics. Residents often work in small teams, participate in regular research meetings, and are encouraged to publish their results or contribute to open-source initiatives. This hands-on experience not only sharpens technical skills but also provides valuable exposure to collaborative research environments.
What are popular job titles related to Ai Residency Program jobs in Utah? For Ai Residency Program jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Ai Residency Program jobs in Utah look for? The top searched job categories for Ai Residency Program jobs in Utah are:
What cities in Utah are hiring for Ai Residency Program jobs? Cities in Utah with the most Ai Residency Program job openings:
Ai Residency Program jobs near you

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

University of Utah

Salt Lake City, UT • Hybrid

$90K - $135K/yr

Full-time

Retirement

Posted 10 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

383rd of 614 rated colleges and universities

Job description

Details
Open Date 07/23/2026 Requisition Number PRN45731B Job Title Artificial Intelligence (AI) / Machine Learning (ML) Engineers Working Title AI Engineer Career Progression Track P00 Track Level P4 - Advanced, 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
Work Schedule
Full-time, 40 hours per week. Monday through Friday from 8:00 am to 5:00 pm.
Work Location & Residency
This position offers a flexible, mostly remote work schedule for candidates who reside along the Wasatch Front. While most duties can be performed remotely, the employee must be available to attend essential meetings and events on campus as needed.
Work Profile
Hybrid Work
A hybrid telework schedule is available for this position, dependent on operational needs and management approval. The arrangement will be established in partnership with the manager and is subject to ongoing departmental needs.
Travel:
This position may require occasional travel.
VP Area U of U Health - Academics Department 02228 - Data Coordinating Center Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $90,188 to $135,601 Close Date 10/23/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
Artificial Intelligence (AI) / Machine Learning (ML) Engineers
The Utah Data Coordinating Center (DCC) is seeking an experienced AI Engineer to design, build, and operate secure, scalable AI-enabled research platforms. This role sits at the intersection of machine learning, cloud infrastructure, and regulated research environments, supporting national and international research programs. You will work closely with research IT leadership, data engineers, security teams, and external partners to operationalize AI workflows while maintaining strong governance, security, and compliance standards. This is a hands-on engineering role for someone who enjoys building real systems, not prototypes that live on slides. This position will report to the Sr. Supervisor, IT.

Essential Functions:
  • Design and deliver end-to-end hybrid data and AI solutions
    Collaborate with data scientists, engineers, and business stakeholders to design, build, test, deploy, and support scalable data pipelines and AI/ML models across hybrid cloud and on-premises environments. Deliver reliable, production-ready solutions aligned with organizational strategy and enterprise architecture standards.
  • Operationalize machine learning systems using modern MLOps practices
    Partner with cross-functional teams to deploy, monitor, and manage ML models through CI/CD pipelines, model versioning, experiment tracking, automated testing, and lifecycle management frameworks. Support both batch and real-time inference workloads while ensuring reliability, scalability, and maintainability.
  • Build and maintain secure, scalable infrastructure across hybrid environments
    Implement containerized and cloud-native solutions using Docker and orchestration platforms (e.g., Kubernetes) to support data and AI workloads. Apply infrastructure-as-code (IaC) and automation practices to enable reproducibility, scalability, and operational efficiency across on-premises and cloud systems.
  • Ensure secure, compliant, and governed data and AI systems
    Collaborate with security and compliance teams to implement role-based access controls, encryption, network security controls, and audit logging across environments. Align architectures with regulatory frameworks (e.g., HIPAA, NIST, FISMA) and enterprise governance standards while promoting responsible AI practices.
  • Translate business requirements into scalable technical architectures
    Engage with stakeholders to understand strategic objectives and convert them into robust data architectures, algorithms, and automation workflows. Promote shared ownership of solutions, ensuring alignment with long-term sustainability, performance expectations, and enterprise standards.
  • Monitor, optimize, and sustain production systems
    Implement monitoring, logging, and alerting frameworks to track data pipeline health, model performance, data drift, system reliability, and cost efficiency. Apply performance tuning, reliability engineering, and continuous improvement practices to maintain operational excellence.
  • Communicate technical designs and analytical insights clearly
    Document system architectures, data flows, AI workflows, and operational procedures. Present complex technical concepts and model outcomes to both technical and non-technical stakeholders in a clear and actionable manner.
  • Advance engineering excellence and innovation
    Stay current with emerging technologies in data engineering, cloud computing, and applied AI. Evaluate and adopt new tools and methodologies that improve automation, scalability, security, and organizational impact while adhering to best practices and architectural standards.

To learn more about the Utah DCC visit http://uofuhealth.org/UtahDCC
This position is not eligible for work visa sponsorship.

The University of Utah offers a comprehensive benefits package. You can learn more about the great benefits of working for the University of Utah at: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Artificial Intelligence (AI) / Machine Learning (ML) Engineer
Research, design, develop, test, and support artificial intelligence (AI) and machine learning (ML) frameworks and models. Leverage AI/ML techniques to answer business questions, support business strategies, and deliver valuable quantitative insights to improve products. Develop sophisticated algorithms to automate processes and tasks. Collaborate with internal stakeholders to understand business and technical needs. Code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Remain up to speed on cutting edge research for AI technology and concepts.
Artificial Intelligence (AI) / Machine Learning (ML) Engineer, III
Considered highly skilled and proficient in discipline. Conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
Requires a bachelor's (or equivalency) + 6 years or a master's (or equivalency) + 4 years of directly related work experience.
This is a Career-Level position in the General Professional track.

Expected Pay Range: $90,188 to $123,274

Artificial Intelligence (AI) / Machine Learning (ML) Engineer, IV
Recognized as subject matter expert and advanced individual contributor professional. Requires specialized skill set. Conducts highly complex work, unsupervised and with extensive latitude for independent judgment.
Requires a bachelor's (or equivalency) + 8 years or a master's (or equivalency) + 6 years of directly related work experience.
This is an Advanced-Level position in the General Professional track.

Expected Pay Range: $99,587 to $135,601
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:

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
  • Experience with MLOps platforms or custom ML deployment pipelines
  • Familiarity with vector databases, embeddings, or RAG-based systems
  • Experience supporting clinical research, biomedical data, or sensitive datasets
  • Familiarity with compliance-driven environments (FISMA Moderate/High, HITRUST, etc.)
  • Experience working in academic or research institutions
  • Strong experience with Python and modern ML/AI tooling
  • Hands-on experience with AWS (or comparable cloud platforms)
  • Experience building and operating CI/CD pipelines
  • Proficiency with Docker and container-based workflows
  • Experience supporting data-intensive or research computing environments
  • Strong understanding of security best practices in regulated environments
  • Ability to work independently and communicate clearly with both technical and non-technical stakeholders
Applicants will be screened according to preferences.
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 NonDiscrimination 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 co...

What University Of Utah employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

University of Utah logo

About University of Utah

Sourced by ZipRecruiter

The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850

View All University of Utah Jobs

Apply