Back to SearchSenior AI Engineer / AI Security & Cybersecurity, AI Governance
Remote in Georgia
AI Solution Engineering
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
We are seeking a Senior AI Engineer specializing in AI Security & Cybersecurity and AI Governance to support the Security team's AI governance initiatives, focusing on evaluating AI capabilities, conducting security assessments, developing secure AI integrations, and supporting enterprise AI adoption.
Responsibilities
- 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 to ensure secure AI adoption
- Provide guidance on cost optimization for consumption-based AI products
Requirements
- 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
- Skills in Custom MCP Server Development and MCP Connectors & Integrations
- Background in AI Governance Framework Development and Enterprise AI Platform Security Reviews
- Knowledge of AI Cost Optimization and Consumption-Based AI Products
- Familiarity with AI Adoption & Responsible AI and AI Skills Development
- Understanding of Security Review Processes and Enterprise Integration Architecture