AI Engineer- Enterprise Solutions

Sterling Infrastructure, Inc. is seeking an AI Engineer- Enterprise Solutions to support Heavy Civil Construction operations through AI-powered applications and practical data products. The role sits onsite in Draper, UT and requires close collaboration with construction operations teams as well as IT, security, and business leaders to deliver secure, scalable solutions using modern Microsoft technologies.

What you’ll do

• Work directly with business and construction operations teams to identify opportunities for technology and AI solutions.
• Design, develop, and deploy applications, AI agents, automations, dashboards, and data integrations.
• Build end-to-end 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 usable 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.

What you bring

• 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, plus experience with Python, .NET, TypeScript, or similar languages.
• Hands-on experience with Microsoft Azure, Fabric, Power Platform, or comparable cloud technologies.
• Practical experience developing AI solutions, automations, or data-driven applications.
• Ability to work independently, communicate effectively 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 you’ll work with

• Microsoft Azure, Fabric, Power BI, Power Platform
• SQL, REST APIs
• Python, .NET, TypeScript
• 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 building operational or financial dashboards.
• Familiarity with construction technology platforms such as Viewpoint, HCSS, Trimble, or Autodesk.

This is an onsite role supporting Heavy Civil Construction operations, with the focus on delivering AI-powered workflows, integrations, and dashboards that help teams operate more efficiently and make better decisions.