Lead AI Engineer

Blattner Energy, Inc. is building core AI platforms that move from prototype to real production use, starting with the Construction Ops Platform. As the senior technical owner, you will guide architecture, deliver production-ready LLM and agentic applications, and set the engineering standards that help the platform scale and evolve over time.

This is a remote (hybrid) role with a focus on long-term platform enhancement, integration with enterprise systems, and hands-on delivery across architecture, production code, and evaluation practices.

Role overview

• Serve as the senior technical owner of one of Blattner’s core AI platforms, initially the Construction Ops Platform.
• Own the end-to-end platform journey, including technical architecture and delivery from prototype through production and ongoing enhancement.
• Act as both architect and principal builder, establishing the technical design, writing production code, and remaining accountable after launch.
• Define adoption targets and account for cost to run and extend the platform.

Responsibilities

• Own the end-to-end technical architecture and delivery of a core software platform, from prototype through production and long-term enhancement.
• Build production LLM and agentic applications, including:
  • retrieval over project and construction data
  • agent and tool orchestration
  • evaluation harnesses
  • context engineering
  • human-in-the-loop review paths
• Integrate AI solutions with enterprise systems of record, including Procore, Salesforce, Bluebeam, ERP and finance systems, and with Blattner’s Microsoft Fabric data foundation.
• Establish engineering standards across the AI team, including repository structure, testing and model evaluation, release process, observability, consumption and cost monitoring, and security review.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field.
• 8 or more years of applicable professional experience in Machine Learning, AI Engineering, or related fields.

Technologies

• LLM, MCP
• Azure, Azure AI Foundry
• Databricks
• Microsoft Fabric

Collaboration and operating model

• Partner closely with a Senior AI Product Manager.
• Provide technical direction to AI Engineers, Data Engineers, and Full Stack Application Developers.
• Work with a small central AI team that owns strategy, governance, and platform engineering, while increasing domain expertise and change management shifts into the business over time.
• Sit on the central platform side of this model.

Benefits

• Competitive pay: USD 133,847 - 194,078 per year
• 100% employer-paid HDHP insurance premiums for employees
• 401(k) with company match
• HSA and FSA options
• Dental and Vision insurance
• Education Assistance (Tuition Reimbursement)
• Work/Life balance
• Employee/Family focused culture
• Gym on site