Security Engineer, Agent Security
About the Team The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them
What this role actually needs.
About the Team The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them Responsibilities: - Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack. - Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale. - Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability. - Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI. - Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services. - Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Security Engineer, Agent Security role.
- Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack.
- Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale.
- Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability.
- Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI.
- Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services.
- Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods.
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Source: jobs.ashbyhq.com · Source ID: e9bea775-7eb6-438a-ab96-27d5f941e69d · Confidence: 97/100 · Last checked: May 7, 2026
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