Senior AI Engineer / AI Security & Cybersecurity, AI Governance

EPAM·Georgia·Удалённо·сегодня

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

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