Staff AI Security Engineer

What you’ll be doing

• Design and deploy enterprise AI guardrails, gateways, and other controls to protect agentic workflows from emerging threats.
• Establish security architectures for local and hosted agents to mitigate tool-calling, prompt injection, goal misalignment, and data exfiltration risks.
• Develop secure design patterns and developer tools that allow engineering teams to build and deploy AI features safely and quickly.
• Lead threat modeling and security reviews for agentic AI systems, enterprise deployments, and agent ecosystems.
• Build systems to discover, inventory, and assess AI usage and data flows across the enterprise.
• Design and operate internal AI security platforms and develop integrated AI capabilities that automate complex security operations.
• Drive technical alignment across product, security, and infrastructure teams. Mentor engineers and security practitioners across domains.

What you’ll bring to the role

• Deep knowledge of the AI threat landscape, including OWASP, MITRE ATLAS, NIST AI RMF with practical experience in prompt injection, excessive agency, and other AI-related threats.
• 8+ years of experience in security engineering or backend software development, with strong coding proficiency in Python or Go and hands-on cloud experience.
• Experience securing or auditing agentic frameworks (such as LangChain, Strands, Claude Agent SDK, or custom tool-calling agents) operating within sandboxed environments.
• Proven ability to design scalable cloud infrastructure (AWS/GCP), API gateways, proxy architectures, and access controls for enterprise systems.
• Track record of building developer-first security tools and platform controls that maintain engineering velocity.
• Strong communication skills with a history of driving technical strategy, influencing engineering leaders, and mentoring engineers.
• Bachelor's degree in Computer Science, Cybersecurity, Information Security, or equivalent practical experience.