ai engineer in AI security

No description

• Evaluate and approve AI skills, agents, connectors, and MCP integrations against defined security and risk criteria;
• Design and build custom MCP servers, connectors, and integrations for approved business use cases;
• Conduct security reviews of Claude Enterprise, Microsoft 365 Copilot, and related AI platform capabilities;
• Assess connectors and integrations for data exposure, permissions, identity and security controls, auditability, and implementation risks;
• Develop and maintain AI governance standards, review processes, and risk assessment frameworks;
• Provide architecture recommendations and implementation guidance for secure AI adoption;
• Provide guidance on cost optimization for consumption-based AI products.

• 3+ Years of experience in AI Governance, AI Security & Cybersecurity, and Enterprise Security Architecture;
• Expertise in Cloud Security, AI Security Risk Assessment, and Risk Assessment Frameworks;
• Proficiency in Claude Enterprise, Microsoft 365 Copilot, and Microsoft Copilot Studio;
• Skills in API Development & Integrations and Identity & Access Management (IAM);
• Knowledge of Data Security & Protection and Security Controls & Auditability;
• Familiarity with AI Connectors & Agents and MCP (Model Context Protocol);
• Background in Secure AI Architecture & Implementation Guidance;
• English proficiency at B2 level or higher;
• Nice to have: Custom MCP Server Development, MCP Connectors & Integrations, AI Governance Framework Development, Enterprise AI Platform Security Reviews, AI Cost Optimization, Consumption-Based AI Products, AI Adoption & Responsible AI, AI Skills Development, Security Review Processes, Enterprise Integration Architecture.

• No conditions specified