AI Data Specialist Jobs in Utah
AI Data Specialist jobs in Utah are concentrated in Salt Lake City, Provo, and Lehi, where the Silicon Slopes tech corridor has established a dense cluster of data-driven employers. Companies like Adobe, Qualtrics, and Amazon Web Services maintain large Utah operations and actively hire ai data specialists across machine learning pipelines, data labeling, and model evaluation workflows. Demand runs from entry-level annotation and quality assurance roles through senior positions in training data architecture and AI validation. See the openings below and apply to the ones that match your experience.
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We are looking for an AI Engineer (Data Scientist) to design, build, and deploy production grade AI solutions. This is an engineering first role focused on applying Generative AI, machine learning, and good software practices to build scalable and reliable AI services.
This AI Engineer will work closely with product, data, and platform teams, as well as business stakeholders, to deliver end-to-end AI solutions—from development and deployment through monitoring and continuous improvement.
Responsibilities:
- Design, build, and deploy AI solutions, including Generative AI and machine learning models, to solve real business problems.
- Develop agentic AI systems using LLM orchestration frameworks (e.g., LangChain, LangGraph, or similar).
- Develop and maintain production-ready AI services and components with attention to performance, reliability, and maintainability.
- Collaborate with Data Scientists, product teams, and business stakeholders to translate requirements into scalable AI and ML solutions.
- Build and maintain AI/ML pipelines covering data ingestion, prompt engineering, model inference, evaluation, and monitoring.
- Implement and follow MLOps best practices, including CI/CD, versioning, observability, and model and prompt lifecycle management.
- Work with both structured and unstructured data, including integration with relational databases and vector databases for retrieval augmented generation (RAG).
- Communicate effectively with both technical and non-technical stakeholders, including senior leadership.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field plus 2+ years of relatable experience. Master’s degree is a plus. A combination of education and experience may meet qualifications.
- Strong software engineering background with experience contributing to production systems.
- Excellent Python programming skills, including experience with async programming and API development (FastAPI, Flask, or similar).
- Hands‑on experience building Generative AI / LLM‑based applications in production environments.
- Familiarity with LLM orchestration and agentic AI frameworks (e.g., LangChain, LangGraph, or similar concepts).
- Familiarity with ML frameworks such as PyTorch/scikit‑learn.
- Experience integrating vector databases and search/index systems for AI applications.
- Good understanding of prompt engineering, model evaluation, and inference optimization.
- Experience deploying AI/ML solutions on cloud platforms (GCP preferred; Azure or AWS).
- Working knowledge of MLOps practices, including CI/CD pipelines, monitoring, and lifecycle management.
- Strong problem solving skills and the ability to communicate clearly with both technical and nontechnical stakeholders.
- Comfortable working in a collaborative, fast-moving environment and owning deliverables end-to-end.
- Experience building agentic workflows, tool calling systems, or multiagent architectures is a plus.
- Experience with containerization and orchestration technologies (Docker, Kubernetes) is a plus.
Location:
This position is fully in office (5 days a week) at the Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047
The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company’s primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:
- Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
- At least 75% of the building is powered by on-site renewable solar energy.
- Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
- Large modern cafe with a healthy and diverse menu.
- Healthy indoor environment with ample natural light and fresh air.
- LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.
Benefits:
- Medical, Dental and Vision Insurance - START DAY ONE!
- Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
- Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
- Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
- 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
- Mental health benefits including coaching and therapy sessions
- Tuition Reimbursement for qualifying employees
- Employee Ambassador preferred banking products
Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.
We are looking for an AI Engineer (Data Scientist) to design, build, and deploy production grade AI solutions. This is an engineering first role focused on applying Generative AI, machine learning, and good software practices to build scalable and reliable AI services.
This AI Engineer will work closely with product, data, and platform teams, as well as business stakeholders, to deliver end-to-end AI solutions—from development and deployment through monitoring and continuous improvement.
Responsibilities:
- Design, build, and deploy AI solutions, including Generative AI and machine learning models, to solve real business problems.
- Develop agentic AI systems using LLM orchestration frameworks (e.g., LangChain, LangGraph, or similar).
- Develop and maintain production-ready AI services and components with attention to performance, reliability, and maintainability.
- Collaborate with Data Scientists, product teams, and business stakeholders to translate requirements into scalable AI and ML solutions.
- Build and maintain AI/ML pipelines covering data ingestion, prompt engineering, model inference, evaluation, and monitoring.
- Implement and follow MLOps best practices, including CI/CD, versioning, observability, and model and prompt lifecycle management.
- Work with both structured and unstructured data, including integration with relational databases and vector databases for retrieval augmented generation (RAG).
- Communicate effectively with both technical and non-technical stakeholders, including senior leadership.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related technical field plus 2+ years of relatable experience. Master’s degree is a plus. A combination of education and experience may meet qualifications.
- Strong software engineering background with experience contributing to production systems.
- Excellent Python programming skills, including experience with async programming and API development (FastAPI, Flask, or similar).
- Hands‑on experience building Generative AI / LLM‑based applications in production environments.
- Familiarity with LLM orchestration and agentic AI frameworks (e.g., LangChain, LangGraph, or similar concepts).
- Familiarity with ML frameworks such as PyTorch/scikit‑learn.
- Experience integrating vector databases and search/index systems for AI applications.
- Good understanding of prompt engineering, model evaluation, and inference optimization.
- Experience deploying AI/ML solutions on cloud platforms (GCP preferred; Azure or AWS).
- Working knowledge of MLOps practices, including CI/CD pipelines, monitoring, and lifecycle management.
- Strong problem solving skills and the ability to communicate clearly with both technical and nontechnical stakeholders.
- Comfortable working in a collaborative, fast-moving environment and owning deliverables end-to-end.
- Experience building agentic workflows, tool calling systems, or multiagent architectures is a plus.
- Experience with containerization and orchestration technologies (Docker, Kubernetes) is a plus.
Location:
This position is fully in office (5 days a week) at the Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047
The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company’s primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:
- Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
- At least 75% of the building is powered by on-site renewable solar energy.
- Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
- Large modern cafe with a healthy and diverse menu.
- Healthy indoor environment with ample natural light and fresh air.
- LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.
Benefits:
- Medical, Dental and Vision Insurance - START DAY ONE!
- Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
- Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
- Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
- 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
- Mental health benefits including coaching and therapy sessions
- Tuition Reimbursement for qualifying employees
- Employee Ambassador preferred banking products
Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.
See All 58 AI Data Specialist Jobs in Utah
Find roles in Utah that match your experience and apply in just a few clicks.
Find AI Data Specialist JobsAI Data Specialist Jobs by City in Utah
Where Utah roles are concentrated, by current openings.
AI Data Specialist Job Market in Utah
A snapshot from current Utah openings, updated as new roles post.
Who's Hiring
- Atonom7A
- CVS Health4
- Utah State University4
- Western Governors University3
- NiCE2
Top Industries Hiring
- Technology & Software6
- Education4
- Healthcare & Medical Services4
- Insurance2
- Banking & Financial Services2
What Utah Employers Look For
The qualifications that appear most often in AI data specialist jobs across Utah.
- Bachelor's degree in computer science, data science, statistics, or a related field
- Proficiency in Python or R for data processing and analysis tasks
- Experience with machine learning frameworks such as TensorFlow or PyTorch
- Demonstrated ability to clean, label, and validate large structured and unstructured datasets
- Familiarity with SQL and cloud data platforms such as AWS, Azure, or Google Cloud
- Strong written communication skills for documenting data pipelines and model performance
AI Data Specialist Jobs in Utah: Frequently Asked Questions
How do you become a ai data specialist in Utah?
There is no state-issued license required to work as an ai data specialist in Utah. Most employers along the Silicon Slopes corridor hire candidates with a bachelor's degree in computer science, data science, or a quantitative field, along with demonstrated hands-on experience with machine learning workflows. Building a portfolio of data labeling, pipeline, or model evaluation projects and earning recognized industry credentials such as the Google Professional Data Engineer or AWS Certified Machine Learning certification strengthens applications to Utah employers significantly.
How much do AI data specialists make in Utah?
AI data specialists in Utah earn a median of about $108,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,680 for the lowest 10% to over $167,890 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data specialists in Utah?
Companies currently hiring ai data specialists in Utah include Atonom, CVS Health, and Utah State University, per current listings on Migrate Mate as of July 2026. Utah's Silicon Slopes region gives job seekers access to a dense mix of technology headquarters, enterprise software firms, and cloud services operations that consistently maintain active ai data specialist pipelines.
Which Utah cities have the most ai data specialist jobs?
Salt Lake City, Provo, and Lehi lead Utah in ai data specialist openings. Salt Lake City anchors the market as the state's largest metro with a broad mix of tech, healthcare, and financial services employers, while Provo and Lehi sit at the heart of the Silicon Slopes corridor, where a high concentration of software and cloud companies drives consistent demand for data and AI talent.
Are there remote ai data specialist jobs in Utah?
Yes, and more than most fields. About 47% of ai data specialist openings tied to Utah are remote or hybrid as of July 2026, reflecting the largely desk-based and collaborative nature of the work. Roles focused on data annotation review, model quality assurance, and pipeline documentation are especially likely to be offered with flexible or fully remote arrangements.
How can I get hired as a ai data specialist in Utah with little or no experience?
The most realistic entry path is through data annotation or data quality associate roles, which large Utah tech employers and their contracted partners post regularly for candidates without deep experience. Adobe, Qualtrics, and several Silicon Slopes startups run new-grad programs and contract-to-hire pipelines where annotation, labeling, and QA work serves as a direct on-ramp. Building a public portfolio on GitHub demonstrating Python data cleaning, labeling pipeline work, or basic model evaluation projects gives candidates without prior titles a concrete edge in Utah applications.
Where can I find and apply to ai data specialist jobs in Utah?
You can find and apply to ai data specialist jobs in Utah on Migrate Mate, which lists current Utah openings. Search the listings for roles that fit your background, experience level, and preferred location or remote arrangement, then apply directly to the ones that match.
See All 58 AI Data Specialist Jobs in Utah
Find roles in Utah that match your experience and apply in just a few clicks.
Find AI Data Specialist Jobs