remotely.living

Senior AI Engineer / AI Security & Cybersecurity, AI Governance

EPAM Systems · Remote - Georgia · 2026-09-29

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Job description

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