Director of AI

Location: Remote – Easy travel up to 25% to Columbus, OH; Cincinnati, OH; Richmond, VA; or Dallas, TX Job Title: Director of AI Pay: $200,000 - $225,000 annually Location: Remote – Easy travel up to 25% to Columbus, OH; Cincinnati, OH; Richmond, VA; or Dallas, TX Summary: This role is responsible for establishing and managing an AI Center of Excellence, scaling assistant adoption from pilot to enterprise-wide deployment, and implementing governance frameworks to ensure safe and effective AI operations. Requirements: Bachelor's degree in computer science, engineering, data science, information systems, or equivalent practical experience. 10+ years in technology roles with at least 3 years leading AI, machine learning, or data science teams. Proven track record of deploying AI into production with clear business results and adoption metrics. Hands-on proficiency with modern LLM platforms, prompt engineering, retrieval-augmented generation, and agent design, including human approval workflows. Familiarity with the Microsoft AI stack (Copilot, Copilot Studio, Azure OpenAI, Fabric) and experience with at least one other frontier model provider. Experience establishing AI governance frameworks including acceptable use policies, model approval processes, and audit trails. Responsibilities: Launch and oversee the AI Center of Excellence, including operating models, membership, decision rights, and reporting structures. Build and manage the AI intake and evaluation process, prioritizing projects based on value, risk, and data readiness. Establish reusable AI delivery patterns, including architecture standards, evaluation methodologies, and production support protocols. Embed AI champions within business units to generate demand and local ownership of AI projects. Develop and execute the AI roadmap, sequencing initiatives for maximum productivity and impact. Lead the deployment of initial operational AI use cases such as assistant tools for estimating, RFP responses, document parsing, and workflow automation. Drive adoption of enterprise assistants like Microsoft Copilot and Claude Enterprise across roles and functions. Design and implement AI governance, including policies, risk management, model safety, and compliance controls. Build and lead the AI team, including hiring and managing ML engineers, prompt engineers, and governance specialists.

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