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Automation Engineer Jobs in Sandy, UT (NOW HIRING)

Senior QA Automation Engineer Canopy, South Jordan, UT About Us Canopy is a fast-growing SaaS company in South Jordan, Utah building simple, powerful software for accounting firms. We're on a mission ...

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Automation Engineer information

See Sandy, UT salary details

$35.2K

$101.8K

$155K

How much do automation engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for automation engineer in Sandy, UT is $101,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $117,400.00 per year, depending on experience, location, and employer.

What is the difference between Automation Engineer vs Control Systems Engineer?

AspectAutomation EngineerControl Systems Engineer
Required CredentialsBachelor's in Engineering, certifications like PLC or SCADABachelor's in Electrical, Mechanical, or Systems Engineering, similar certifications
Work EnvironmentManufacturing, industrial plants, automation companiesIndustrial facilities, manufacturing, process control environments
Employer & Industry UsageTech firms, manufacturing, automation service providersIndustrial sectors, process industries, automation firms
Common Search & Comparison IntentYesYes

The main difference between Automation Engineers and Control Systems Engineers lies in their focus areas. Automation Engineers typically design and implement automated systems across various industries, emphasizing software and hardware integration. Control Systems Engineers concentrate on designing and maintaining control systems for industrial processes, often with a stronger emphasis on control theory and hardware. Both roles require similar qualifications and are often found working in manufacturing and industrial environments, but their specific responsibilities and focus areas differ.

What is an automation engineer?

Automation Engineers are professionals who design, develop, and implement automated systems and processes to improve efficiency, quality, and productivity in various industries. They work with technologies such as robotics, control systems, and software to automate repetitive or complex tasks. Their responsibilities often include programming, troubleshooting, and maintaining automation equipment, as well as collaborating with other engineers to optimize workflows. Automation Engineers are employed in sectors like manufacturing, IT, automotive, and pharmaceuticals.

What are the key skills and qualifications needed to thrive as an automation engineer, and why are they important?

To thrive as an Automation Engineer, you need a strong grasp of control systems, programming (such as PLC, Python, or C++), and a relevant engineering degree. Familiarity with automation platforms like Rockwell, Siemens, or SCADA systems, as well as certifications like ISA or relevant vendor-specific credentials, is highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating with diverse teams and troubleshooting complex issues. These skills and qualifications are critical for designing efficient automated solutions, minimizing downtime, and ensuring seamless integration of systems.

What are some common challenges automation engineers face when integrating new systems into existing workflows?

Automation Engineers often encounter challenges when integrating new automation solutions with legacy systems, including compatibility issues and data migration complexities. Coordinating with cross-functional teams—such as IT, operations, and production—can require extensive communication to ensure seamless implementation. Additionally, balancing the need for system reliability with innovation and minimizing downtime during transitions are key concerns. Proactively addressing these challenges through thorough planning and testing helps ensure successful integration.

What does an automation engineer do?

As an automation engineer, your job is to design and develop automated machines for your company. Your responsibilities may include determining the best way to implement automation, creating devices that meet the company's needs and specifications, testing robots to ensure they perform as designed, and monitoring existing automation to check if repair or replacement is needed. Many duties of this job vary by industry. For example, automation engineers work in areas like the automotive industry, food preparation and packaging, electronics production, and appliance production, and each of these fields has different materials and objectives. However, regardless of industry, most automation engineers work with both hardware and software.

What are the most commonly searched types of Automation Engineer jobs in Sandy, UT? The most popular types of Automation Engineer jobs in Sandy, UT are:
What are popular job titles related to Automation Engineer jobs in Sandy, UT? For Automation Engineer jobs in Sandy, UT, the most frequently searched job titles are:
What cities near Sandy, UT are hiring for Automation Engineer jobs? Cities near Sandy, UT with the most Automation Engineer job openings:
Infographic showing various Automation Engineer job openings in Sandy, UT as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $101,847 per year, or $49 per hour.

AI & Automation Engineer

D.A. Davidson Equity Capital Markets

Salt Lake City, UT • On-site

Full-time

Re-posted 15 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.