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Azure Ai Engineer Jobs in Utah (NOW HIRING)

NICE

AI DevOps Engineer

Sandy, UT

$50.25 - $68.75/hr

... Engineer - Cloud AI Platforms At NICE, we are not just building software-we are transforming how ... AWS / Azure / GCP Working knowledge of CI/CD, Docker, Kubernetes Strong problem-solving and ...

Epicor

Manager of Product Development | AI Platform

Lehi, UT · Hybrid

$107K - $134K/yr

As Manager of Product Development, AI Platform at Epicor, you will be leading the development of a ... Azure, Python, and C# technologies * Building and leading a Forward Deployed Engineering function ...

NICE

AI DevOps Engineer

Sandy, UT · On-site

$50.25 - $68.75/hr

... Engineer - Cloud AI Platforms At NICE, we are not just building software-we are transforming how ... Azure / GCP • Working knowledge of CI/CD, Docker, Kubernetes • Strong problem-solving and ...

University of Utah

IT Software Engineers

Salt Lake City, UT · Remote

$100K - $125K/yr

  • Retirement

Responsibilities AI Platform Engineer III * Design, develop, deploy, and support enterprise AI ... Experience with cloud AI platforms and services including AWS SageMaker, AWS Bedrock, Azure AI ...

University of Utah

IT Software Engineers

Salt Lake City, UT · On-site

$100K - $125K/yr

  • Retirement

Responsibilities AI Platform Engineer III * Design, develop, deploy, and support enterprise AI ... Experience with cloud AI platforms and services including AWS SageMaker, AWS Bedrock, Azure AI ...

Boncom

AI Solutions Manager

Salt Lake City, UT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... AI, Azure AI Foundry, or AWS Bedrock. * Fluency across the modern GenAI stack: prompt engineering, evaluation, RAG, tool use, agenticorchestration, and emerging patterns like MCP(Model Context ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability. * Collaborate with data scientists, ML engineers, and software ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability. * Collaborate with data scientists, ML engineers, and software ...

Autonomous Solutions

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability. * Collaborate with data scientists, ML engineers, and software ...

Autonomous Solutions

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/yr

Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability. * Collaborate with data scientists, ML engineers, and software ...

Pwc

US Tech - AI Engineering Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... with Azure, DevOps, and enterprise integration patterns - Bringing systems thinking to design end ... AI use cases into scalable platform capabilities - Defining and enforcing automated testing ...

Wsgr

Senior AI Security Engineer

Salt Lake City, UT · On-site +1

$110K - $151K/yr

The Senior AI Security Engineer, under the direction of the Director, Security Engineering and ... Solid command of cloud security fundamentals (AWS, Azure, or GCP) as applied to AI workloads ...

OmegaHires

Java Developer with AI

Salt Lake City, UT · On-site

$49.25 - $63.75/hr

... GPT, Azure OpenAI, Anthropic Claude, Gemini, or Llama. - Strong knowledge of prompt engineering, AI orchestration, and model evaluation. - Experience with Docker, Kubernetes, and CI/CD pipelines ...

Autonomous Solutions

AI Software Engineer I

Logan, UT · On-site

$68K - $117K/yr

Basic understanding of cloud platforms (AWS, Azure, or GCP). * Familiarity with version control workflows using Git. * Exposure to AI/ML APIs or large language model (LLM) integration patterns.

Autonomous Solutions

AI Software Engineer I

Logan, UT · On-site

Basic understanding of cloud platforms (AWS, Azure, or GCP). * Familiarity with version control workflows using Git. * Exposure to AI/ML APIs or large language model (LLM) integration patterns.

Autonomous Solutions

AI Software Engineer I

Logan, UT · On-site

$68K - $117K/yr

As an AI Software Engineer I at ASI, you are responsible for supporting the development of internal ... Basic understanding of cloud platforms (AWS, Azure, or GCP).Familiarity with version control ...

Deloitte

Google AI Lead Architect

Salt Lake City, UT · On-site

$53.50 - $73.25/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Design and deploy applications using Cloud Native principles on a hyperscaler platform (AWS, Azure ...

American Homes 4 Rent

Product Engineering Architect

Draper, UT · On-site

  • Dental

  • Vision

  • Retirement

  • PTO

The Product Engineering Architect is a strategic and hands-on technical individual responsible for ... Familiarity with cloud AI ecosystems including Azure AI Foundry, AWS Bedrock, GCP Gemini AI, M365 ...

Amh

Product Engineering Architect

Draper, UT · On-site

  • Dental

  • Vision

  • Retirement

  • PTO

The Product Engineering Architect is a strategic and hands-on technical individual responsible for ... Familiarity with cloud AI ecosystems including Azure AI Foundry, AWS Bedrock, GCP Gemini AI, M365 ...

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All JobsAzure Ai Engineer JobsAzure Ai Engineer Jobs in Utah

Azure Ai Engineer information

See Utah salary details

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How much do azure ai engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for azure ai engineer in Utah is $48.82, according to ZipRecruiter salary data. Most workers in this role earn between $39.38 and $56.68 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of an Azure AI Engineer?

An Azure AI Engineer typically spends their day designing, building, and deploying AI and machine learning models using Azure's suite of cloud-based tools. Tasks often include data preprocessing, model training and evaluation, integrating AI solutions with existing applications, and optimizing system performance for reliability and scalability. Collaboration is common, with frequent interactions with data scientists, developers, and IT specialists to ensure seamless implementation of AI solutions. This role also involves staying updated with the latest Azure features and industry trends to deliver cutting-edge, efficient solutions for business challenges.

Is Azure AI in demand?

Azure AI engineers are in high demand as organizations increasingly adopt cloud-based AI solutions and require expertise in Azure's AI services, machine learning, and data management. The role often requires knowledge of Azure tools, programming skills, and certifications, making it a valuable and sought-after position in the tech industry.

How much do Azure AI engineers make?

Azure AI engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in machine learning and cloud architecture can earn higher salaries. Compensation often includes benefits such as health insurance and professional development opportunities.

What are the key skills and qualifications needed to thrive in the Azure AI Engineer position, and why are they important?

To thrive as an Azure AI Engineer, you need a strong foundation in artificial intelligence, machine learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency in Microsoft Azure services (such as Azure Machine Learning, Cognitive Services, and Databricks), along with certifications like Microsoft Certified: Azure AI Engineer Associate, is highly valued. Effective problem-solving, teamwork, and strong communication skills help Azure AI Engineers work efficiently in cross-functional teams. These abilities are essential to deliver scalable AI solutions that align with business objectives and industry best practices.

What is an Azure AI Engineer?

An Azure AI Engineer is responsible for designing, developing, and deploying AI solutions using Microsoft Azure services. They work with AI models, machine learning, and cognitive services to build intelligent applications. Their role includes data preprocessing, model training, optimization, and integration with cloud-based systems. Azure AI Engineers collaborate with data scientists and developers to enhance AI-driven solutions for business needs. Proficiency in Azure Machine Learning, AI services, and programming languages like Python is essential for the role.

What are the most commonly searched types of Azure Ai Engineer jobs in Utah? The most popular types of Azure Ai Engineer jobs in Utah are:
What are popular job titles related to Azure Ai Engineer jobs in Utah? For Azure Ai Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Azure Ai Engineer jobs in Utah look for? The top searched job categories for Azure Ai Engineer jobs in Utah are:
Azure Ai Engineer jobs near you
Infographic showing various Azure Ai Engineer job openings in Utah as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $101,554 per year, or $48.8 per hour.

AI DevOps Engineer

NICE

Sandy, UT

$50.25 - $68.75/hr

Full-time

Posted 9 days ago

Job description

AI DevOps Engineer - Cloud AI Platforms

At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you're excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

 

What's the role all about?

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

 
 

How will you make an impact?

 Build and scale AI-driven workflows and automation systems
 Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services
 Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
 Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and orchestration layers
 Translate real-world operational problems into automated, intelligent solutions
 Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
 Improve system performance, reliability, and observability
 
 

Key Responsibilities

 Design and develop scalable backend systems for AI-powered platforms
 Build and maintain AI integrations, workflows, and automation pipelines
 Implement REST APIs, microservices, and event-driven architectures
 Work with both structured and unstructured data for AI use cases
 Contribute to CI/CD pipelines, testing, and deployment automation
 Troubleshoot and optimize production systems
 Collaborate with cross-functional teams to deliver high-quality solutions
 Contribute to reusable frameworks and engineering best practices
 
 

What we're looking for

 Strong experience in backend development (Typscript, C#, .NET, Python, RUST or similar)
 Experience building scalable, distributed systems in cloud environments
 Familiarity with APIs, microservices, and event-driven systems
 Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
 Experience with AWS / Azure / GCP
 Working knowledge of CI/CD, Docker, Kubernetes
 Strong problem-solving and analytical skills
 Ability to work in a fast-paced, evolving environment
 
 

Nice to have

 Experience with LLM frameworks or prompt engineering
 Knowledge of observability tools (Grafana, Prometheus, etc.)
 Experience building automation or internal platforms
 Frontend exposure (React, JavaScript)

Apply