AI Implementation Specialist (Remote)

Keystone Custom Homes•Lancaster, PA

2d•Remote

About The Position

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. Some of what you build will be hands-on: configuring chatbots, focus assistants, and workflow agents on low-code/no-code platforms like Hatz.ai, Microsoft Copilot Studio, and Power Automate. Other improvements will be bigger -- for those, you will write detailed requirements documents and technical specifications that our infrastructure and development teams use to build more complex integrations. You are the connective tissue between business logic and technical execution. This role reports to the IT Infrastructure Administrator within the Information Services department. This role is Remote eligible, though occasional visits to the Lancaster, PA office may be needed departmental engagements.

Requirements

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

Nice To Haves

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

Responsibilities

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

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