Lead AI Engineer (Hybrid)
About The Position
The Lead AI Engineer is the senior technical owner of one of Blattner's core AI platforms, with the first assignment being the Construction Ops Platform. This role is both architect and principal builder: it sets the technical design, writes production code, and remains accountable for the platform after launch, including adoption against a stated target and the cost to run and extend it. The role partners closely with a Senior AI Product Manager and provides technical direction to AI Engineers, Data Engineers, and Full Stack Application Developers. Blattner's AI work runs through a small central team that owns strategy, governance, and platform engineering, with domain expertise and change management increasingly sitting inside the business. This role sits on the central platform side of that model. Success means the platform is something Blattner can enhance for years, and that engineers within or external to this team can extend it.
Requirements
- Bachelor’s degree in Computer Science, Data Science, or related field
- 8 or more years of applicable professional experience in Machine Learning, AI Engineering, or related fields.
Nice To Haves
- Production experience with LLM application patterns: retrieval, agents and tool use, MCP or comparable tool-calling frameworks, and systematic evaluation
- Deep understanding of cloud and data platforms, with Azure and Databricks preferred, including Azure AI Foundry
Responsibilities
- Own 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: retrieval over project and construction data, agent and tool orchestration, evaluation harnesses, context engineering, and human-in-the-loop review paths.
- Integrate AI solutions with enterprise systems of record (Procore, Salesforce, Bluebeam, ERP and finance systems) and with Blattner's Microsoft Fabric data foundation.
- Establish engineering standards across the AI team: repository structure, testing and model evaluation, release process, observability, consumption and cost monitoring, and security review.
Benefits
- Competitive pay
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
