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