Enterprise AI Governance Architect & Guardrails

Cliff Services Inc

Vienna (VA)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Cliff Services Inc. seeks an AI Engineer/Architect to design and implement enterprise-wide AI governance, guardrails, and security controls. You will evaluate deployment platforms and define standardized policies to meet risk and compliance standards.

The role focuses on production-ready, compliant AI solutions across AKS, Azure Foundry, and Copilot Studio, partnering with security and architecture teams to operationalize governance in an enterprise setting.

Qualifications

  • Experience designing enterprise-wide AI governance frameworks.
  • Hands-on governance, guardrails, security, and risk management.

Responsibilities

  • Design and implement enterprise-wide AI guardrails and governance frameworks.
  • Evaluate AI agent deployment platforms and define standardized controls.
  • Establish security, risk, compliance, and production-readiness standards for AI solutions.
  • Develop governance processes for AI agents across AKS, Copilot Studio, Azure AI Foundry, and emerging platforms.
  • Assess AI solutions and ensure they meet enterprise security and compliance requirements.
  • Partner with technology, security, risk, and architecture teams to operationalize AI governance.

Skills

AI Governance & Guardrails
AI Agent Security
AI Risk Management
Enterprise AI Architecture
Azure AI Foundry
Microsoft Copilot Studio
Azure Kubernetes Service AKS
AI Compliance & Controls
Production Readiness
AI Standards & Policy
Responsible AI

Job description

Cliff Services Inc. seeks an AI Engineer/Architect to design and implement enterprise-wide AI governance, guardrails, and security controls. You will evaluate deployment platforms and define standardized policies to meet risk and compliance standards.

The role focuses on production-ready, compliant AI solutions across AKS, Azure Foundry, and Copilot Studio, partnering with security and architecture teams to operationalize governance in an enterprise setting.

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