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Ai Platform Engineer Jobs in Utah (NOW HIRING)

Armaninollp

Data & AI Platform Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

eNett

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

... AI Platform. Within this capacity, you will be responsible for the design, development, and deployment of autonomous AI agents, skills, MCP servers, AI tools engineered for advanced reasoning ...

WEX

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

... AI Platform. Within this capacity, you will be responsible for the design, development, and deployment of autonomous AI agents, skills, MCP servers, AI tools engineered for advanced reasoning ...

Adobe

Device Experience Platform Developer

Lehi, UT · Remote

$115K - $218K/yr

Device Experience Platform Engineer - NexthinkJob Summary The Device Experience Platform Engineer ... AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and ...

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How much do ai platform engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ai platform engineer in Utah is $58.22, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $67.16 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 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 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.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in Utah?

For Ai Platform Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Ai Platform Engineer jobs in Utah look for?

The top searched job categories for Ai Platform Engineer jobs in Utah are:

What cities in Utah are hiring for Ai Platform Engineer jobs?

Cities in Utah with the most Ai Platform Engineer job openings:

Ai Platform Engineer jobs near you
Infographic showing various Ai Platform Engineer job openings in Utah as of August 2026, with employment types broken down into 51% Full Time, 47% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $121,103 per year, or $58.2 per hour.

AI Platform Engineer III

The Chronicle Of Higher Education, Inc.

Salt Lake City, UT • On-site

$120 - $180/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

AI Platform Engineer III Job Summary AI Platform Engineer III

The AI Platform Engineer III is responsible for designing,developing, implementing, governing, and supporting enterpriseartificial intelligence solutions across the University. Thisposition serves as a technical leader for generative AI platforms,AI-powered applications, custom agents, workflow automation, andenterprise AI adoption.

The successful candidate will possess demonstrated experienceadministering enterprise AI platforms, developing custom AI agentsand GPTs, implementing agentic workflows, applying advanced promptengineering techniques, and building AI-powered business solutionsthat improve productivity, automate business processes, supportfinancial reporting and analysis, and enhancedecision-making.

This position works closely with university leadership,researchers, business units, developers, security teams, andtechnology partners to identify, develop, and operationalizehigh-value AI use cases. Responsibilities include AI platformadministration, AI solution architecture, agent development, AIgovernance, enterprise integrations, and business processautomation.

This is not an entry-level AI position. Candidates must demonstrateprior hands-on experience working with enterprise AI platforms,large language models, agentic frameworks, custom AI agents, and AIsolution development. The selected candidate will be expected tocontribute immediately as an experienced AI practitioner.

About UIT

University Information Technology(UIT), the central IT service provider for theUniversity of Utah, reports to the U

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