Agentic AI Security Engineer

📋 Description

• Design security controls for autonomous and multi-agent AI systems.
• Secure agent orchestration, tool execution, memory, and integrations.
• Identify and mitigate AI-specific attack vectors and vulnerabilities.
• Protect RAG pipelines, embeddings, and enterprise knowledge repositories.

🎯 Requirements

• Bachelor’s degree in CS, Cybersecurity, AI, or related field.
• 7+ years in software/cybersecurity/AI engineering or app security.
• Experience designing secure cloud-native or distributed systems.
• Experience with LLMs, AI apps, or Agentic AI platforms.
• Experience securing APIs, microservices, and enterprise apps.
• Knowledge of OWASP Top 10 and secure SDLC.
• Understanding AI security risks: prompt injection, data leakage, etc.

🎁 Benefits

• Support high-visibility federal missions.
• Culture of innovation, growth, and collaboration.
• Access to cutting-edge tools and technologies.
• Comprehensive benefits for you and family.
• Career path that rewards ambition and performance.