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AI Engineer- Enterprise Solutions

Posted 3 days ago

sterling infrastructureDraper (UT)

SENIORITY

Senior

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About the role

Support Heavy Civil Construction operations by building secure, AI-powered solutions and data integrations using modern Microsoft technologies.
Responsibilities: Work closely with business and construction operations teams to identify opportunities for technology and AI solutions Design, develop, and deploy AI agents, automations, dashboards, and data integrations Build solutions using Microsoft Azure, Fabric, Power BI, and other modern AI technologies Create AI-powered workflows using tools such as Claude, Microsoft Copilot, and Azure AI Translate complex data into practical tools that improve efficiency, reporting, and decision-making Own projects from initial concept through deployment and ongoing support Collaborate with IT, security, and business leaders to deliver solutions that are secure and scalable
Requirements: 5+ years of experience in software engineering, cloud engineering, AI solutions, or a related field Strong programming and development skills including SQL and REST APIs Experience with at least one of the following: Python, .NET, TypeScript, or similar languages Hands-on experience with Microsoft Azure, Fabric, Power Platform, or comparable cloud technologies Experience developing AI solutions, automations, or data-driven applications Ability to work independently, communicate with non-technical teams, and convert business needs into working solutions Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field Technologies Microsoft Azure, Fabric, Power BI SQL, REST APIs Python, .NET, TypeScript, Power Platform Claude, Microsoft Copilot, Azure AI Large language model (LLM) technologies Even Better If You Have Experience with Claude, Microsoft Copilot, Azure AI, or other LLM technologies Experience developing operational or financial dashboards Familiarity with construction technology platforms including Viewpoint, HCSS, Trimble, or Autodesk
Location: Draper, UT (onsite)
Minimum Experience: 5 years
Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field

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