Director of AI

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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