Director of AI

Prestige Staffing; Grand Prairie (TX); Teletrabalho; USD 200 000 - 225 000; Tempo integral

Resumo da oferta

Prestige Staffing seeks a Director of AI to establish and lead an AI Center of Excellence. This remote role includes up to 25% travel to Columbus, Cincinnati, Richmond or Dallas and focuses on scaling governance, adoption, and enterprise deployment of AI tools.

The ideal candidate has 10+ years in technology with 3+ years leading AI/DS teams, hands-on experience with LLMs, prompt engineering, and governance frameworks. A strong MS stack background is preferred.

Qualificações

• This role requires 10+ years in technology with 3+ years leading AI/data science teams.
• Proven track record deploying AI into production with measurable business results.
• Hands-on with modern LLM platforms and responsible AI governance.

Responsabilidades

• Launch and manage an AI Center of Excellence with defined operating models and governance.
• Build AI intake, evaluation, and prioritization processes based on value and data readiness.
• Define reusable AI delivery patterns, architectures, and production support protocols.
• Embed AI champions in business units to drive adoption and ownership.
• Develop and execute the AI roadmap, sequencing initiatives for impact.
• Lead deployment of enterprise assistants and AI use cases across functions.
• Establish policies, risk controls, and model safety standards for governance.

Conhecimentos

Experience leadership in AI teams

LLM platforms proficiency

Prompt engineering

Retrieval-augmented generation

Agent design

Governance & risk management

Human-in-the-loop workflows

Formação académica

Bachelor's degree in CS/Engineering/Data Science/IS or equivalent

Ferramentas

Microsoft AI stack (Copilot, Copilot Studio, Azure OpenAI, Fabric)

Frontier model providers (e.g., Claude)

Descrição da oferta de emprego

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.

#DICE

#ZR-PRO