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Ai Project Manager Jobs in Utah (NOW HIRING)

HDR

Highway/Roadway Project Manager

Salt Lake City, UT · On-site

Interest in advancing digital delivery and AI-supported workflows in infrastructure projects ... management * Requires professional engineering license recognized by the licensing board for the ...

HDR

Highway/Roadway Project Manager

Salt Lake City, UT · On-site

Interest in advancing digital delivery and AI-supported workflows in infrastructure projects ... management * Requires professional engineering license recognized by the licensing board for the ...

TERRACON

Geotechnical Project Manager

Midvale, UT · On-site

Manage all aspects of a facilities, materials, environmental, or geotechnical engineering project ... From AI-supported solutions and predictive technologies to geophysics and traditional exploration ...

TERRACON

Geotechnical Project Manager

Midvale, UT

From AI-supported solutions and predictive technologies to geophysics and traditional exploration ... Manage all aspects of a small to medium sized project. * Works with client or NAM to define project ...

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All JobsAi Project JobsAi Project Manager JobsAi Project Manager Jobs in Utah

Ai Project Manager information

See Utah salary details

$35K

$93.5K

$147.5K

How much do ai project manager jobs pay per year?

As of Sep 2, 2026, the average yearly pay for ai project manager in Utah is $93,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $112,000.00 per year, depending on experience, location, and employer.

What is an AI project manager?

An AI Project Manager is a professional responsible for overseeing projects that involve artificial intelligence technologies. They bridge the gap between technical AI teams and business stakeholders, ensuring that projects are delivered on time, within budget, and meet the desired outcomes. Their duties often include planning, coordinating resources, managing risks, and communicating progress. AI Project Managers must understand both project management methodologies and the fundamentals of AI to effectively guide their teams. They also play a crucial role in aligning AI initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI project manager?

To thrive as an AI Project Manager, you need a solid understanding of AI concepts, project management methodologies, and experience with cross-functional teams, often backed by a degree in computer science or a related field. Familiarity with tools like JIRA, Asana, and AI development platforms, as well as certifications such as PMP or Agile Scrum Master, is typically required. Strong leadership, communication, and problem-solving skills help facilitate collaboration and manage stakeholder expectations. These competencies are crucial to successfully delivering complex AI projects on time and within scope, ensuring alignment between technical teams and business goals.

How does an AI project manager typically collaborate with data scientists and software engineers during a project?

An AI Project Manager serves as a crucial bridge between technical teams, like data scientists and software engineers, and stakeholders. They facilitate clear communication by translating project goals into actionable tasks and ensuring timelines are met. Regular check-ins, sprint planning, and progress reviews are common, allowing the manager to address roadblocks and realign priorities as needed. This collaborative approach helps ensure that project deliverables align with both technical specifications and business objectives.

What is the difference between Ai Project Manager vs Data Scientist?

AspectAi Project ManagerData Scientist
Required CredentialsBachelor's in CS, Business, or related; certifications in AI/ML project managementBachelor's or higher in CS, Statistics, or related; advanced degrees often preferred
Work EnvironmentOversees AI projects, collaborates with technical teams and stakeholdersAnalyzes data, develops models, and interprets results
Industry UsageUsed across tech, finance, healthcare for managing AI initiativesCommon in research, tech, and analytics sectors

The Ai Project Manager focuses on leading AI projects, coordinating teams, and ensuring project goals are met. In contrast, Data Scientists primarily analyze data, develop models, and generate insights. Both roles often collaborate but serve different functions within AI and data-driven environments.

How do you become an AI project manager?

To become an AI project manager, candidates typically need a background in computer science, data science, or related fields, along with experience managing technology projects. Strong skills in AI concepts, project management methodologies like Agile, and familiarity with tools such as JIRA or Trello are important. Earning certifications like PMP or Scrum Master can also enhance qualifications.

How much do AI project managers make?

AI project managers typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $180,000.

What are popular job titles related to Ai Project Manager jobs in Utah?

For Ai Project Manager jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Ai Project Manager jobs in Utah look for?

The top searched job categories for Ai Project Manager jobs in Utah are:

What cities in Utah are hiring for Ai Project Manager jobs?

Cities in Utah with the most Ai Project Manager job openings:

Ai Project Manager jobs near you
Infographic showing various Ai Project Manager job openings in Utah as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $93,479 per year, or $44.9 per hour.

GPU & Structured Cabling Project Manager

Total Deployment Solutions

Salt Lake City, UT • On-site

Full-time

Medical, PTO

Re-posted 20 days ago

Job description

About Total Deployment Solutions
Total Deployment Solutions (TDS) is a nationwide information technology services provider with 14 years of experience delivering innovative, business-critical solutions. We specialize in AI and GPU deployments, comprehensive data center support, IMAC services - desktop relocation, ensuring organizations transition seamlessly into new or evolving work environments. Our teams manage every detail, from workstation setup to ongoing desktop support, so clients can operate without disruption. Trusted by enterprise and data center partners, TDS continues to lead and adapt to the evolving technology landscape with a focus on reliability, precision, and long-term partnership.
Overview
We are seeking a highly motivated and detail-oriented GPU & Structured Cabling Project Manager to oversee and execute structured cabling projects in high-performance data center environments, with a focus on GPU and AI infrastructure. This role requires frequent travel to project sites across the country and close collaboration with engineering, construction, and IT teams.
Responsibilities:
  • Manage end-to-end structured cabling projects for data centers, including planning, execution, and close-out.
  • Coordinate with internal teams, subcontractors, and vendors to ensure timely and quality delivery.
  • Interpret and implement cabling layouts for GPU and AI workloads, ensuring compliance with industry standards and client specifications.
  • Conduct site surveys, develop scope of work (SOW), and prepare project documentation.
  • Monitor project budgets, timelines, and resource allocation.
  • Ensure adherence to safety protocols and quality assurance standards on-site.
  • Provide regular updates to stakeholders and resolve project-related issues proactively.
  • Travel frequently (up to 75%) to data center locations across the U.S.
Qualifications:
  • 3-5 years of experience in structured cabling project management, preferably in data center environments.
  • Strong understanding of cabling standards (TIA/EIA, BICSI) and best practices.
  • Experience with GPU/AI-specific cabling layouts and high-density environments is highly desirable.
  • Proficiency in reading and interpreting technical drawings and network diagrams.
  • Excellent organizational, communication, and leadership skills.
  • Ability to manage multiple projects simultaneously in a fast-paced environment.
  • PMP or RCDD certification is a plus.
  • Valid driver's license and ability to travel extensively.

Job Type: Full-time
Benefits:
  • Health insurance
  • Paid time off

For more details, visit www.totaldeployment.com.

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