Lead Artificial Intelligence (AI) Engineer

Description

We are looking for an experienced Lead Artificial Intelligence (AI) Engineer to guide the design and delivery of advanced AI solutions for a growing construction-focused organization in Avon, Minnesota. This role will lead the creation of scalable applications that turn complex project and operational data into practical, production-ready tools. The ideal candidate brings strong technical leadership, deep hands-on engineering expertise, and a track record of building reliable AI systems that integrate with enterprise platforms.

Responsibilities:
Lead the technical direction, architecture, and full lifecycle delivery of a core software platform from early concept through production deployment and ongoing improvement.
Design and develop production-grade AI applications, including retrieval-based solutions, agent-driven workflows, tool orchestration, and review processes that incorporate human oversight.
Create robust evaluation frameworks and context management approaches to improve model quality, system reliability, and business relevance.
Connect AI capabilities with enterprise platforms such as Procore, Salesforce, Bluebeam, financial systems, and the organization's Microsoft Fabric data environment.
Define and enforce engineering best practices across the AI team, including codebase organization, testing strategy, release management, and operational readiness.
Establish observability standards and monitor usage patterns, performance trends, and solution costs to support stable and efficient production systems.
Partner with cross-functional stakeholders to translate construction and project data into practical AI-enabled workflows and decision-support tools.
Ensure security and governance considerations are embedded throughout solution design, deployment, and ongoing maintenance.

Requirements

Bachelor's degree in Computer Science, Data Science, or a related technical discipline.
At least 7 years of experience in machine learning, AI engineering, or closely related fields.
Demonstrated success building and deploying production AI systems with retrieval workflows, agent-based patterns, tool usage, and structured evaluation methods.
Strong expertise with Python and experience working with TypeScript or JavaScript in software development environments.
Deep knowledge of cloud and data platforms, with preference for experience in Azure, Azure AI Foundry, and Databricks.
Background integrating AI solutions with enterprise applications and data platforms in complex business environments.
Familiarity with machine learning domains such as computer vision, detection, and broader artificial intelligence engineering practices.

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