AI Solutions Architect

Kent Moore Cabinets • Bryan, TX

6d • Onsite

About The Position

Kent Moore Cabinets (KMC) is a Texas-based cabinet manufacturer serving homebuilders across the state from eight locations. We build the systems that run the business — every internal application, every operational tool, every data pipeline is developed and owned by our team. We don't outsource our core systems and we don't rely on off-the-shelf platforms to run the company. If it matters to how KMC operates, our Development team built it. AI is growing inside KMC — not as a buzzword, but as real infrastructure. We're connecting internal databases through MCP servers, building AI-assisted workflows into our operational tooling, and now establishing the governance and training framework that makes AI work safely across a 700-person organization. This role exists to help us build and manage that infrastructure the right way.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field
• Working knowledge of SQL and relational databases
• Familiarity with REST APIs and how systems integrate with each other
• Exposure to at least one AI/LLM platform (Claude, OpenAI, Azure OpenAI, or similar) — personally or academically
• Strong written communication skills — you'll be writing documentation and training content that non-technical employees have to understand
• Genuine curiosity about how AI tools work and how they can be applied practically, not just theoretically

Nice To Haves

• Experience with JavaScript, Node.js, or Python
• Familiarity with Azure services or Microsoft 365 ecosystem
• Any exposure to MCP servers, RAG pipelines, or LLM integrations
• Understanding of data security principles and access control
• Experience with SharePoint or similar knowledge management platforms

Responsibilities

• Design and implement MCP server connections between AI tools and KMC's internal SQL Server databases
• Build and maintain AI-integrated features within our internal web applications
• Develop and manage KMC's internal AI knowledge base on SharePoint, including role-specific training modules for drafting, sales, and operations teams
• Help draft and maintain KMC's AI Acceptable Use Policy and data governance framework
• Evaluate new AI tools and integrations as they emerge and make recommendations grounded in KMC's actual needs
• Work within our Azure/M365 environment to connect AI capabilities to systems our teams already use
• Participate in the full software development lifecycle — requirements, build, test, deploy, maintain

Benefits

• Full benefits
• 401(k)
• Paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level