AI Security Engineer / Architect
Core
Designing and implementing security controls for enterprise AI environments, specifically focusing on agentic AI, AI agents, and AI gateways.
Role type
Senior AI Security Engineer / Junior AI Security Architect
Builds
Secure AI architectures, MCP implementations, and agent permission frameworks
Domain
Cybersecurity + Artificial Intelligence (LLMs, Agentic AI)
Deliverable
production ML models
Required skills
AI security engineering, LLM security, agentic AI security, MCP integration, AI authentication/authorization, trust boundary design, security control implementation, architecture assessment, policy enforcement
Preferred skills
Microsoft AI ecosystem experience, independent problem solving, hands-on engineering with advisory capabilities
Technologies
Agentic AI, AI Agents, MCP, Microsoft AI ecosystem
Responsibilities
Evaluate AI gateway technologies and security capabilities; Review AI architectures and data-flow diagrams to identify security gaps; Assess MCP implementations and agentic AI workflows; Identify trust boundaries, vulnerabilities, and missing security controls; Design, configure, and implement technical AI security controls; Establish scope restrictions and enforce security policies; Partner with engineering teams to implement controls.
Seniority
Senior, hands-on IC with advisory components
