Job description

A DAY IN THE LIFE 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. STEP INTO THE ROLE 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. WHAT YOU’LL NEED 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. WHAT SETS YOU APART 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 Primarily hybrid role, open to remote for strong candidate in this skill set. HOW WE INVEST IN YOU 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 And more! Blattner is not able to sponsor H-1B visas or permanent residency for this or any position. We are able to consider candidates who hold valid, independent work authorization (e.g., U.S. citizenship, permanent residency, or other valid, non-expired work authorization). $133,847.00 - $194,078.00 Individual Compensation to be determined based on the applicant's applicable experience and qualifications balanced against internal equity. WHO ARE WE? With more than 115 years of construction experience, Blattner has played a vital role in building America’s critical infrastructure, ranging from railroads and highways to dams and mines. Since 1997, the company has focused on renewable energy solutions and is responsible for some of the most significant solar, wind and storage projects in the U.S. Today, Blattner has installed over 20% of America’s utility-scale wind, solar and energy storage capacity. Blattner Company is the parent company of Blattner Energy and D.H. Blattner & Sons, of which all are members of the Quanta Services family of companies. Company headquarters are in Avon, Minnesota. Blattner is an Equal Employment Opportunity Employer committed to diversity and inclusion in the workplace. Blattner will not tolerate discrimination against any applicant for employment or employee on the basis of age (40 and over), ancestry, color, religious creed, gender, gender expression, gender identity, genetic information, marital status, medical condition, mental disability, military or veteran status, national origin, physical disability, race, receipt of public assistance, sex, sexual orientation, or any other status protected by federal, state, or local laws. This commitment governs all aspects of employment including, but not limited to: hiring, promotion, demotion, transfer, layoff, termination, compensation, discipline, and access to benefits and training. Additionally, Blattner is committed, in accordance with applicable law, to making reasonable accommodations for job applicants and employees based on a qualifying disability, a sincerely held religious belief or practice, and for pregnancy, childbirth or related health conditions. Applicants and employees who feel they have experienced or witnessed discrimination or who wishes to request a reasonable accommodation should contact the Human Resources Department. Blattner prohibits retaliation against any individual for making a complaint under this policy, for opposing discrimination, for participating in an investigation pursuant to this policy, or for requesting a reasonable accommodation.

Requirements

Must-haves

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.
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.
Production experience with LLM application patterns: retrieval, agents and tool use, MCP or comparable tool-calling frameworks, and systematic evaluation
Primarily hybrid role, open to remote for strong candidate in this skill set.
Competitive pay
100% employer paid HDHP insurance premiums for employees
HSA and FSA options
Education Assistance (Tuition Reimbursement)
Work/Life balance
Employee/Family focused culture
$133,847.00 - $194,078.00 Individual Compensation to be determined based on the applicant's applicable experience and qualifications balanced against internal equity.

Nice-to-haves

Deep understanding of cloud and data platforms, with Azure and Databricks preferred, including Azure AI Foundry

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmmachine learningazure

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)