AI Security Engineer

We're seeking an experienced AI Security Engineer to help mature and secure an organization's rapidly growing enterprise AI environment. This is a high-impact consulting opportunity reporting directly to executive leadership, focused on strengthening AI security, governance, and best practices—not building an AI program from scratch.

The engagement is expected to last 3–6 months, depending on experience. A senior consultant may complete the work in approximately three months, while a mid-level consultant may support implementation, documentation, and knowledge transfer over a longer engagement.

• Assess the current AI security posture and identify security gaps
• Develop AI governance standards and security best practices
• Partner with infrastructure and development teams to implement secure AI processes
• Evaluate risks associated with AI models and enterprise AI deployments
• Secure AI infrastructure, integrations, and data flows
• Design security controls around Model Context Protocol (MCP) gateways
• Review permissions, access controls, and AI platform security
• Document recommendations and provide knowledge transfer to internal teams

• AWS Bedrock
• Microsoft Foundry (Azure AI Foundry)
• Claude
• Microsoft Copilot

• AI security and AI governance
• Enterprise AI / LLM implementations
• AWS Bedrock and/or Microsoft Foundry
• Claude and Microsoft Copilot
• MCP (Model Context Protocol) gateways
• AWS and/or Azure cloud security
• AI risk assessments
• Data security, identity, and access controls
• Security architecture

This is an excellent opportunity for an AI security consultant who understands how enterprise AI platforms integrate with cloud infrastructure and wants to help shape secure AI adoption in a rapidly evolving environment.