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Ai Platform Engineer Jobs in Midvale, UT (NOW HIRING)

ABOUT THIS POSITION We are looking for a Machine Learning Platform Engineer - Backend Services that ... AI, machine learning, NLP and large scale data processing * Professional experience with MLOps ...

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

About the Role AI is becoming part of the product and platform architecture we need to build, operate, and scale. We are looking for an Applied AI Engineer who can turn AI capability into secure ...

Sr. Applied AI Engineer

Salt Lake City, UT · On-site

$101K - $138K/yr

About the Role AI is becoming part of the product and platform architecture we need to build, operate, and scale. We are looking for an Applied AI Engineer who can turn AI capability into secure ...

Manager of Product Development | AI Platform

Lehi, UT · Hybrid

$107K - $134K/yr

Leading, mentoring, and growing a global team of software engineers and Forward Deployed Engineers ... platforms * Hands-on experience with Azure AI Services, Azure OpenAI, Azure Kubernetes Service ...

Principal DevOps Engineer

West Valley City, UT

$50.75 - $69.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You Will Do as a USANA Principal DevOps Engineer ● Architect and articulate cloud and AI platform strategies and solutions to both technical and non-technical stakeholders ● Lead team ...

New

Principal DevOps Engineer

Salt Lake City, UT

$51 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You Will Do as a USANA Principal DevOps Engineer Architect and articulate cloud and AI platform strategies and solutions to both technical and non-technical stakeholders Lead team members ...

Principal DevOps Engineer

Salt Lake City, UT · On-site

$51 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You Will Do as a USANA Principal DevOps Engineer • Architect and articulate cloud and AI platform strategies and solutions to both technical and non-technical stakeholders • Lead team ...

Principal DevOps Engineer

Salt Lake City, UT

$50.75 - $69.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You Will Do as a USANA Principal DevOps Engineer ● Architect and articulate cloud and AI platform strategies and solutions to both technical and non-technical stakeholders ● Lead team ...

New

Staff Data Platform Engineer

Lehi, UT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ...

Staff Data Platform Engineer

Lehi, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... We are looking for a visionary Staff Data Platform Engineer to lead the design, architecture, and ...

Showing results 21-40

Ai Platform Engineer information

See Midvale, UT salary details

$31

$60

$89

How much do ai platform engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai platform engineer in Midvale, UT is $60.32, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $69.62 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What job categories do people searching Ai Platform Engineer jobs in Midvale, UT look for?

The top searched job categories for Ai Platform Engineer jobs in Midvale, UT are:

What cities near Midvale, UT are hiring for Ai Platform Engineer jobs?

Cities near Midvale, UT with the most Ai Platform Engineer job openings:

Infographic showing various Ai Platform Engineer job openings in Midvale, UT as of August 2026, with employment types broken down into 55% Full Time, 42% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $125,458 per year, or $60.3 per hour.

AI Workplace Platform Consultant (Claude, Copilot, Gemini)

Deloitte

Salt Lake City, UT • On-site

Full-time

Re-posted 29 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

AI Workplace Platform Consultant (Claude, Copilot, Gemini)

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation and enhanced productivity.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology and data platforms. Our delivery models are tailored to meet each client's unique requirements.

The Role

Workplace Engineering is AI & Engineering's front door for enterprise AI adoption. We own the configuration, deployment, and operationalization of foundational large language model platforms - Anthropic Claude/Cowork, Microsoft Copilot, and Google Gemini, for enterprise end users at scale. We are looking for delivery-focused consultants who have done this work firsthand and can drive technical engagements from platform setup through managed operations.

Recruiting for this role ends on 08/10/2026.

Work you'll do

As a consultant on the AI & Engineering team, you will be responsible for:

  • Configuring, integrating and deploying enterprise AI platforms, including Anthropic Claude/Cowork, Google Gemini, and Microsoft 365 Copilot, for end users at scale
  • Leading technical engagements across platform setup, pilot execution, production rollout, and managed operations
  • Implementing identity, access, and provisioning configurations, including single sign-on, role-based access controls, and user lifecycle management
  • Supporting release planning, change management, and end-user enablement activities for enterprise AI platform adoption
  • Translating business and technical requirements into platform configurations, operating procedures, and runbook documentation

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective communication and stakeholder management skills
  • Ability to lead technical workstreams in fast-paced environments
  • Experience managing multiple priorities and deadlines
  • Ability to translate business needs into technical solutions

The Team

AI & Engineering helps organizations transform technology platforms, modernize critical operations, and drive innovation at scale. Professionals across the practice work with clients to improve performance, launch new digital capabilities, and increase productivity through engineering-led solutions.

Qualifications

Required:

  • Direct experience with enterprise AI platforms, including Anthropic Claude and/or Google Gemini and Copilot
  • 3+ years of experience in project or program management
  • 3+ years of experience in consulting, industry, or systems integration supporting large-scale enterprise implementations
  • Microsoft 365/Exchange ecosystem experience
  • Experience with enterprise release planning and change management
  • Bachelor's degree or equivalent experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Anthropic Claude/Cowork, Microsoft 365 Copilot, Google Gemini or OpenAI enterprise platforms
  • Experience configuring single sign-on (SSO) with Okta, Ping, Microsoft Entra ID, Azure Active Directory, or Google Workspace
  • Experience with System for Cross-domain Identity Management (SCIM) provisioning, user lifecycle management, and role-based access control (RBAC)
  • Experience with application programming interface (API) management, webhook integrations, usage monitoring, and spend controls
  • Experience with audit logging, access governance, and enterprise security frameworks including SOC 2 or ISO 27001
  • Experience creating technical documentation, runbooks, or acceptable use policies for enterprise AI deployments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,200 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: [1] [1] https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

AI Workplace Platform Consultant (Claude, Copilot, Gemini)

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation and enhanced productivity.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology and data platforms. Our delivery models are tailored to meet each client's unique requirements.

The Role

Workplace Engineering is AI & Engineering's front door for enterprise AI adoption. We own the configuration, deployment, and operationalization of foundational large language model platforms - Anthropic Claude/Cowork, Microsoft Copilot, and Google Gemini, for enterprise end users at scale. We are looking for delivery-focused consultants who have done this work firsthand and can drive technical engagements from platform setup through managed operations.

Recruiting for this role ends on 08/10/2026.

Work you'll do

As a consultant on the AI & Engineering team, you will be responsible for:

  • Configuring, integrating and deploying enterprise AI platforms, including Anthropic Claude/Cowork, Google Gemini, and Microsoft 365 Copilot, for end users at scale
  • Leading technical engagements across platform setup, pilot execution, production rollout, and managed operations
  • Implementing identity, access, and provisioning configurations, including single sign-on, role-based access controls, and user lifecycle management
  • Supporting release planning, change management, and end-user enablement activities for enterprise AI platform adoption
  • Translating business and technical requirements into platform configurations, operating procedures, and runbook documentation

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective communication and stakeholder management skills
  • Ability to lead technical workstreams in fast-paced environments
  • Experience managing multiple priorities and deadlines
  • Ability to translate business needs into technical solutions

The Team

AI & Engineering helps organizations transform technology platforms, modernize critical operations, and drive innovation at scale. Professionals across the practice work with clients to improve performance, launch new digital capabilities, and increase productivity through engineering-led solutions.

Qualifications

Required:

  • Direct experience with enterprise AI platforms, including Anthropic Claude and/or Google Gemini and Copilot
  • 3+ years of experience in project or program management
  • 3+ years of experience in consulting, industry, or systems integration supporting large-scale enterprise implementations
  • Microsoft 365/Exchange ecosystem experience
  • Experience with enterprise release planning and change management
  • Bachelor's degree or equivalent experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience with Anthropic Claude/Cowork, Microsoft 365 Copilot, Google Gemini or OpenAI enterprise platforms
  • Experience configuring single sign-on (SSO) with Okta, Ping, Microsoft Entra ID, Azure Active Directory, or Google Workspace
  • Experience with System for Cross-domain Identity Management (SCIM) provisioning, user lifecycle management, and role-based access control (RBAC)
  • Experience with application programming interface (API) management, webhook integrations, usage monitoring, and spend controls
  • Experience with audit logging, access governance, and enterprise security frameworks including SOC 2 or ISO 27001
  • Experience creating technical documentation, runbooks, or acceptable use policies for enterprise AI deployments

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $131,200 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document: [1] [1] https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


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