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Ai Automation Jobs in Utah (NOW HIRING)

AI & Automation Engineer

Salt Lake City, UT · On-site

  • Medical

  • Dental

  • Vision

  • PTO

We are seeking a Mid-Level AI and Automation Engineer to develop next-generation AI capabilities within our Microsoft-based environment. This role will focus on building intelligent assistants and ...

Senior Finance AI & Automation Developer

Salt Lake City, UT · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design, build, & deploy automation and AI-driven solutions across Finance processes. These projects will ...

Partner with campus leaders to improve business processes through AI, automation, and workflow redesign. * Manage AI projects from discovery through implementation, adoption, and continuous ...

AI Solutions Engineer IV

Logan, UT · On-site

$140 - $200/hr

As an AI Solutions Engineer IV at ASI, you are responsible for setting the technical standards and ... Set standards for automation pilot methodology, knowledge‑capture pipelines, and impact ...

As an AI Solutions Engineer IV at ASI, you are responsible for setting the technical standards and ... ResponsibilitiesSet standards for automation pilot methodology, knowledge-capture pipelines, and ...

AI Solutions Engineer III

Lehi, UT · On-site

$120 - $180/hr

Drive engineering‑workflow automation and communications‑triage programs from prototype through production handoff. * Produce engineering‑ready requirements documents and queryable knowledge ...

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Showing results 1-20

Ai Automation information

See Utah salary details

$28.2K

$106.2K

$154.3K

How much do ai automation jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai automation in Utah is $106,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,300.00 and $126,500.00 per year, depending on experience, location, and employer.

What is an AI Automation?

An AI Automation job involves designing, developing, and managing automated systems that leverage artificial intelligence to streamline processes, improve efficiency, and reduce manual effort. Professionals in this field work with machine learning models, software automation tools, and AI-driven decision-making systems. They collaborate with teams to implement AI solutions across industries such as finance, healthcare, and customer service. This role often requires expertise in programming, data science, and AI technologies to optimize workflows and enhance business operations.

What does an AI Automation do?

A typical day for an AI Automation professional involves analyzing business processes to identify automation opportunities, developing and testing AI-driven solutions, and collaborating with cross-functional teams such as IT, operations, and project management. You might also be tasked with monitoring deployed systems, troubleshooting issues, and continuously improving automation workflows based on feedback and performance data. Frequent communication with stakeholders and end-users is common, ensuring solutions align with business goals. This dynamic environment provides opportunities to learn new technologies and contribute to impactful digital transformation initiatives.

What are the key skills and qualifications needed to thrive in AI Automation?

To excel in AI Automation, you need a solid background in computer science, machine learning, and process automation, often supported by a degree in a STEM field. Proficiency with tools like Python, TensorFlow, RPA platforms (such as UiPath or Blue Prism), and familiarity with cloud services are commonly required, along with relevant certifications. Strong problem-solving abilities, analytical thinking, and collaboration skills set exceptional candidates apart. These skills are vital for designing, deploying, and maintaining AI-driven automation solutions that improve business efficiency and accuracy.

Is AI automation a good career?

AI automation is a growing field with increasing demand for professionals skilled in machine learning, programming, and data analysis. Careers in this area often offer competitive salaries, opportunities for advancement, and the chance to work on innovative technologies, making it a promising career choice for those interested in technology and automation. Continuous learning and staying updated with industry tools like Python, TensorFlow, and cloud platforms are important for success in this field.

What jobs can I get with AI automation?

Jobs related to AI automation include roles such as AI engineer, machine learning engineer, data scientist, automation developer, and AI product manager. These positions typically require skills in programming, data analysis, and understanding of AI tools and frameworks like Python, TensorFlow, or PyTorch.

What are the most commonly searched types of Ai Automation jobs in Utah?

The most popular types of Ai Automation jobs in Utah are:

What cities in Utah are hiring for Ai Automation jobs?

Cities in Utah with the most Ai Automation job openings:

Infographic showing various Ai Automation job openings in Utah as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $106,156 per year, or $51 per hour.

AI & Automation Engineer

D.A. Davidson Equity Capital Markets

Salt Lake City, UT • On-site

Full-time

Re-posted 28 days ago


Job description

Job Summary:
D.A. Davidson Companies is an independent, employee-owned company dedicated to high standards of integrity and outstanding service. They are seeking a Mid-Level AI and Automation Engineer to develop AI capabilities within a Microsoft-based environment, focusing on building intelligent assistants and automated workflows to enhance business processes in financial services.
Responsibilities:
• Design and Develop AI-Powered Workflows: Use Microsoft Copilot Studio and Power Platform (Power Automate, Power Apps) to design, build, and optimize AI assistants and automated workflows that enhance employee productivity and decision-making.
• Integrate Enterprise Data and Systems: Connect AI copilots to enterprise data sources and APIs, enabling context-rich automation (e.g. integrating Azure AI services or databases with Copilot agents for real-time information retrieval).
• Apply AI Best Practices: Implement prompt engineering techniques and fine-tune AI models or prompts to improve the relevance and accuracy of Copilot responses. Utilize Azure OpenAI or similar services to incorporate advanced language AI capabilities when needed.
• Ensure Compliance and Security: Build solutions with robust security, privacy, and compliance controls in mind, aligning with corporate policies and industry regulations (financial data protection, responsible AI use, audit logging). Work closely with governance teams to enforce security standards for AI integrations.
• DevOps and Monitoring: Develop CI/CD pipelines for deploying and updating AI agents or automation workflows, ensuring smooth rollouts and version control. Set up monitoring and telemetry dashboards to track performance, usage, and quickly address any issues.
• Collaboration and Iteration: Work in an Agile team alongside product managers, business analysts, and designers to refine requirements and user stories. Iterate on solutions based on user feedback and analytics, continuously improving the AI assistants’ effectiveness.
• Documentation and Training: Document solution designs, workflows, and configurations. Help create user guides or demo sessions to drive adoption of the new AI-powered tools among employees and stakeholders.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of experience in software development, automation engineering, or similar roles.
• Hands-on experience with Microsoft Power Automate and related Power Platform tools for workflow automation.
• Familiarity with M365 Copilot features or similar AI bot/agent development tools (e.g. Azure AI services, cognitive services).
• Proficiency in at least one programming or scripting language (such as Python, C#, or JavaScript) to extend and customize solutions.
• Experience building or consuming RESTful APIs and working with data integration.
• Working knowledge of Azure cloud services and AI/ML frameworks.
• Ability to deploy applications or automations in a cloud environment and integrate AI APIs (Azure OpenAI, Azure Cognitive Services, etc.).
• Experience with version control (git and Bitbucket) and continuous integration/continuous deployment (CI/CD) pipelines for software projects.
• Comfortable using tools like Azure DevOps or GitHub Actions to automate build-test-deploy processes.
• Strong analytical and problem-solving skills with a track record of delivering solutions that meet business needs.
• Excellent communication skills to work effectively with both technical and non-technical team members.
• Align efforts with other lines-of-business and functional areas, such as our partners in Operations, Finance, Wealth Management, and more.
• Commitment to maintain client confidentiality and data security.
• Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information.
• Ability to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives.
• Ability to maintain regular, predictable attendance.
Preferred:
• Experience with Microsoft 365 Copilot Studio – for example, having built or managed AI copilots/agents in a production setting.
• Knowledge of designing conversation flows, topics, tools, and using Copilot’s advanced features (custom actions, agent-to-agent workflows).
• Familiarity with large language models beyond basic API usage – e.g., experience with prompt tuning, deploying LLMs, or implementing retrieval-augmented generation (RAG) pipelines with vector databases for domain-specific Q&A.
• Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more.
• Background in financial services or wealth management technology projects.
• Understanding of industry regulatory requirements (e.g. data privacy, audit, model risk management) and how to design AI solutions that comply with them.
• Hands-on experience implementing security, compliance, and responsible AI practices in software.
• Familiarity with Microsoft’s Responsible AI guidelines, Azure Purview for data governance, or similar tools to control AI use.
• Demonstrated initiative in previous roles – maybe you introduced a new automation tool, led a pilot of an AI solution, or actively contributed to AI/automation communities.
• Microsoft certifications in Azure AI, Power Platform, or related areas would be an advantage, reflecting your commitment to staying current.
• Lots of experience working in highly-iterative development processes.
• Somebody prepared to deal with the boring and the tough.
Company:
D.A. Founded in 2002, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.