ABOUT THE ROLE This

Role Description This is a new role at Keystone Custom Homes, created to bring AI-driven workflow improvements to every department in the company. You will embed directly with business teams for 4-6 week engagements, learning how they work, identifying friction and opportunity, and then building or specifying AI-powered solutions that make their jobs easier and their output better. - Conduct 4-6 week embedded engagements with KCH departments (Sales, Construction, Customer Care, Design, Purchasing, Accounting, etc.), shadowing workflows, interviewing staff, and documenting current-state processes. - Identify and prioritize AI and automation opportunities within each department, building a roadmap of quick wins and longer-term projects ranked by business impact. - Design, build, and deploy AI-powered chatbots, focus assistants, and knowledge tools using Hatz.ai and similar no-code/low-code platforms, tailored to each department's specific business logic and data sources. - Build and maintain workflow automations using Microsoft Power Automate, Copilot Studio, and Hatz.ai workflow agents that reduce manual effort and improve data flow between systems. - Write formal requirements documents, user stories, and technical specifications for complex AI projects that require custom development, and hand them off to the infrastructure and development teams with enough context to build without ambiguity. - Develop and deliver training and adoption support for end users, ensuring AI tools are actually used after deployment -- not just delivered. - Track and report on the measurable impact of each engagement (time saved, errors reduced, adoption rate) to demonstrate ROI to department leaders and executive stakeholders. - Stay current on AI tooling, platform capabilities, and industry trends, and proactively recommend new approaches to leadership. Qualifications - 2-4 years of experience in business analysis, process improvement, technology consulting, or a similar role where understanding business operations and translating them into technical solutions was the core job. - Demonstrated experience building solutions on low-code/no-code AI platforms (Hatz.ai, Copilot Studio, Power Automate, Zapier, Make, or similar) -- we care about what you have shipped, not what you have studied. - Strong understanding of how large language models, chatbots, and AI agents work at a practical level -- you do not need to train models, but you need to know what they can and cannot do, and how to configure them for real business use cases. - Excellent written communication skills, especially the ability to write clear requirements documents and specs that a development team can build from without follow-up questions. - Comfort working independently and embedded within unfamiliar teams -- this role requires building trust quickly with people who may not be technical. - Ability to explain AI concepts to non-technical audiences without jargon or condescension. - Familiarity with the Microsoft 365 ecosystem (Teams, SharePoint, Power Platform) as a user and administrator. Requirements - Experience in homebuilding, construction, real estate, or a related industry. - Familiarity with ERP systems, CRM platforms, or project management tools (Jira, BuilderTrend, CoConstruct, etc.). - Experience with Claude Enterprise, OpenAI APIs, or other LLM platforms beyond consumer chat. - Background in change management methodologies or user adoption strategy. - Exposure to prompt engineering, RAG architectures, or vector databases at a conceptual level. - Experience with Azure services (Logic Apps, Functions, AI Services) is a plus but not expected.