AI Solutions Engineer Jobs in Utah
AI Solutions Engineer jobs in Utah are in high demand, concentrated in enterprise software, cloud infrastructure, fintech, and defense contracting, with openings at every level from associate to principal. Salt Lake City, Provo, and Lehi are the primary hiring metros, home to established employers like Adobe, Qualtrics, and L3Harris Technologies that maintain ongoing needs for this role. The most sought-after specialties are LLM integration, AI-driven customer experience platforms, and machine learning pipeline deployment. Scan the live roles below and apply to whichever ones fit.
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Please reference the schedule and minimum qualifications listed below before applying.
If you need assistance with filling out our application form or during any phase of the application, interview, or employment process, please notify our Human Resources Team at 801-366-6947 option 1 or email macurecruiting@macu.com and every reasonable effort will be made to accommodate your needs in a timely manner.
Job Summary
This role is responsible for specific SaaS products and focuses on applying platform recommended best practices to build solutions to solve business problems. As well as working within platform standards to build integrations and full software solutions where necessary. With a focus on quality, security, and performance. They are also responsible for configurations and maintenance of the assigned SaaS products. Increasingly, this role leverages the Microsoft Azure cloud platform and Microsoft AI services—including Azure OpenAI Service and Microsoft Copilot—to extend the assigned SaaS products with secure, intelligent, cloud-native capabilities.Job Description
LOCATION: UTAH
9800 S. Monroe St.
Sandy, UT 84070
SCHEDULE:
FULL-TIME; IN-OFFICE ONE DAY PER WEEK MINIMUM
To be effective, an individual must be able to perform each job duty successfully.
Responsibilities include building and maintaining forms, fields, tables, apps, components, and dashboards using out of the box tools.
Configuring and maintaining features, modules, and environments according to development and business needs.
Applies SDLC to all custom apps and components integrated with the platform.
Supporting the deployment of solutions according to platform standards and best practices. While also following Credit Union standards.
Building and maintaining workflows to manage business processes.
Promoting and applying credit union coding standards together with the platform recommended best practices for development.
Building platform extensions through scripts, components, business rules, plugins, and solutions according to the recommended standards of the platform.
Regularly participating in collaborative code review and solution review sessions.
Creating unit tests with appropriate solution coverage and assists quality engineers in developing automated integration tests and UI tests.
Promotes best practices and standards for the platform.
Collaborates effectively in a Scrum team, with the desire to perform a variety of tasks as needed to fully complete stories in accordance with the accepted definition of done.
Collaborate regularly and effectively with the Product Management team and Business Stakeholders.
Meets the needs of the end user in a quality, consistent, and professional manner, using independent judgment where appropriate.
Communicates effectively and professionally to both team members and credit union employees in other departments.
Contributes to general and technical documentation for platform solutions.
Commits to continuously learn and improve, in both technical expertise and soft skills.
Keeps current with the specific SaaS product roadmap and features. As well as emerging technologies and development techniques.
Assists in diagnosing and resolving production issues.
Designing, building, and integrating AI-powered features into platform solutions using Microsoft AI services such as Azure OpenAI Service, Azure AI Foundry, and Microsoft Copilot Studio, following responsible-AI principles and Credit Union security standards.
Building and deploying cloud-native integrations and services on Microsoft Azure (such as Azure Functions, Logic Apps, App Service, and API Management), with automated CI/CD pipelines in GitHub and Azure DevOps.
Knowledge, Skills, and Abilities (KSA)
Minimum 2 years of experience working on the assigned SaaS products.
Experience with building out of the box solutions for the assigned SaaS products.
Experience with extending the platform through scripts, components, plugins, or event triggers.
Ability to translate business problems into platform solutions.
Ability to work with business stakeholders and understand their issues and requirements.
Familiarity with mainstream object-oriented languages such as C# or Java.
Experience with JavaScript or web front end frameworks like React or Angular.
Experience with creating and consuming web services, including both REST and SOAP.
Experience with accessing and querying databases like MSSQL Server
Experience with Scrum and associated tools such as Azure DevOps or GitHub.
Experience building and deploying solutions on Microsoft Azure, including services such as Azure App Service, Azure Functions, Azure Logic Apps, Azure API Management, and Azure SQL Database.
Familiarity with credit union/banking systems and processes is preferred.
2–5 years delivering solutions on one or more enterprise platforms.
Preferred experience designing or integrating generative-AI solutions with Azure OpenAI Service and Azure AI Search, including retrieval-augmented generation (RAG) and prompt-engineering patterns.
Experience using Microsoft Copilot or Copilot Studio to extend business applications with AI assistants is a plus.
Education
Bachelor’s or equivalent; advanced platform certifications are strongly preferred.
Certifications (Preferred)
Preferred: Assigned SaaS product certifications or certifications for similar platforms. Microsoft Azure and AI certifications are strongly preferred,
Managerial Responsibility
Has no supervisory/managerial responsibility.
Computer/Office Equipment Skills
Experience with Microsoft 365 tools (Word, Excel, PowerPoint) and diagram software such as Visio or Lucidchart. Experience with the Microsoft Azure portal and AI-assisted development tools such as GitHub Copilot is a plus.
Language Skills
Demonstrated ability to clearly express ideas verbally and in writing; document outcomes for stakeholders.
Other Skills and Abilities
Ability to work autonomously and collaboratively in a fast-paced environment; strong time management; adaptive to change; excellent interpersonal skills.
PHYSICAL ABILITIES / WORKING CONDITIONS
Ability to sit, talk and hear consistently; stand, walk occasionally; lift up to 10 pounds occasionally; typical office environment; moderate noise.
***This Job is not eligible to be performed in Colorado or Connecticut, either remotely or in-person.***
#LI-FB1
Mountain America Credit Union is an EEO/AA/ADA/Veterans employer.
See All 27 AI Solutions Engineer Jobs in Utah
Find roles in Utah that match your experience and apply in just a few clicks.
Find AI Solutions Engineer JobsAI Solutions Engineer Jobs by City in Utah
Where Utah roles are concentrated, by current openings.
AI Solutions Engineer Job Market in Utah
A snapshot from current Utah openings, updated as new roles post.
Who's Hiring
- AfterShip2

- Samsara2

- Bank of America2

- Zions Bancorporation2

- QXO1

Top Industries Hiring
- Banking & Financial Services5
- Technology & Software4
- Electronics & Hardware2
- Cybersecurity1
- Manufacturing1
What Utah Employers Look For
The qualifications that appear most often in AI solutions engineer jobs across Utah.
- Bachelor's degree in computer science, engineering, or a directly related technical field
- Hands-on experience building and deploying machine learning or generative AI solutions in production
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud for AI workloads
- Strong programming skills in Python and familiarity with AI frameworks like TensorFlow or PyTorch
- Ability to communicate technical AI concepts clearly to non-technical business stakeholders
- Experience with API integration, solution architecture, and pre-sales or customer-facing technical roles
AI Solutions Engineer Jobs in Utah: Frequently Asked Questions
How do you become a ai solutions engineer in Utah?
Most ai solutions engineer roles in Utah require a bachelor's degree in computer science, software engineering, or a related field, and the role carries no state-issued license or registration in Utah. Employers in the Salt Lake City and Utah Valley tech corridor typically look for hands-on AI or ML project experience, which candidates build through university programs at the University of Utah or Brigham Young University, personal projects, or cloud platform certifications from AWS, Google, or Microsoft.
How much do AI solutions engineers make in Utah?
AI solutions engineers in Utah earn a median of about $128,810 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,810 for the lowest 10% to over $177,970 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai solutions engineers in Utah?
Employers hiring ai solutions engineers in Utah right now include AfterShip, Samsara, and Bank of America, based on current listings on Migrate Mate as of July 2026. Utah's Silicon Slopes corridor, anchored in Salt Lake City and Lehi, concentrates a high density of software, cloud, and enterprise tech companies with recurring demand for this role.
Which Utah cities have the most ai solutions engineer jobs?
Salt Lake City, Utah, and Midvale account for the largest share of ai solutions engineer openings in Utah. Salt Lake City drives volume through its enterprise software and cloud company base, while Provo and Lehi benefit from the Silicon Slopes concentration of high-growth tech firms and established companies like Adobe and Qualtrics that maintain large local engineering organizations.
Are there remote ai solutions engineer jobs in Utah?
Yes, and more than most fields. About 76% of ai solutions engineer openings tied to Utah are remote or hybrid as of July 2026, reflecting how well the role's core work, such as solution design, model integration, and customer technical consultation, translates to distributed environments. The portions most likely to be fully on-site involve hands-on enterprise implementation or classified government contracting work.
How can I get hired as a ai solutions engineer in Utah with little or no experience?
The most realistic entry path is moving from a closely adjacent role such as software engineer, data analyst, or technical support specialist into an associate or junior solutions engineer position. Large Utah tech employers in the Salt Lake City and Utah Valley areas frequently hire from internal transfers and new-grad pipelines out of the University of Utah and BYU. Building a portfolio of deployed AI projects and earning a cloud platform certification from AWS or Google strengthens a candidacy significantly against more experienced applicants.
Where can I find and apply to ai solutions engineer jobs in Utah?
You can find and apply to ai solutions engineer jobs in Utah on Migrate Mate, which lists current Utah openings from employers across the state. Search the available roles, find the ones that match your background and location preference, and apply directly through each listing.
See All 27 AI Solutions Engineer Jobs in Utah
Find roles in Utah that match your experience and apply in just a few clicks.
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