Senior AI Product Manager / Agent Builder

RK Industries, LLC•Denver, CO

7d•$160,000 - $190,000•Hybrid

About The Position

RK Industries is building an enterprise AI Agent capability using Microsoft AI technologies, and we’re looking for a Senior AI Product Manager / Agent Builder to help lead the journey. This is a unique product leader + hands-on builder role for someone who can translate operational needs into scalable AI products that deliver measurable business value. You’ll own enterprise AI Agents from business opportunity through prototype, production, adoption, and measurable business value—starting with RK Mechanical and expanding across RK as our AI capability grows.

Requirements

5–8+ years of product-management experience in software, data, AI, enterprise SaaS, or related technology environments.
2+ years of meaningful AI, generative AI, or AI Agent product experience.
Hands-on experience with Microsoft Foundry / Azure AI Foundry.
Hands-on experience with Copilot Studio and practical understanding of Microsoft 365 Copilot.
Working knowledge of Microsoft Fabric.
Strong understanding of enterprise RAG, grounding, retrieval, and evaluation.
Experience defining evaluation datasets, acceptance thresholds, and human-in-the-loop controls.
Hands-on prototyping experience using GitHub Copilot, Codex, or comparable AI coding tools.
Strong product discovery, workflow mapping, roadmap, backlog, adoption, and business-value skills.
Ability to work comfortably with executives, frontline users, engineers, architects, data teams, security teams, and vendors.

Nice To Haves

Experience in construction, MEP, specialty contracting, industrial operations, manufacturing, or related domains is a plus.

Responsibilities

Discover high-value AI opportunities by working directly with business users.
Own AI Agents end-to-end: problem → product → prototype → evaluation → production → adoption → value.
Build and iterate agents using Microsoft Foundry / Azure AI Foundry, Copilot Studio, Microsoft 365 Copilot, and Microsoft Fabric.
Design enterprise RAG, grounding, tools, integrations, and human-in-the-loop workflows.
Personally create rapid prototypes, lightweight coded agents, integrations, and evaluation harnesses.
Use AI-assisted development tools such as GitHub Copilot, Codex, and comparable coding assistants.
Define evaluation datasets, acceptance thresholds, and production-quality standards.
Partner with Engineering, Architecture, Data, Security, Responsible AI, MLOps/LLMOps, Change Management, and external AI development partners.
Measure adoption and prove business value through revenue generation, time savings, cost avoidance, cycle-time reduction, quality improvement, or risk reduction.
As RK builds dedicated AI/Agent Engineering capacity, production engineering will progressively transition to those specialists. You’ll continue to own the product, agent behavior, evaluation quality, adoption, and business value.