[Remote] Security Engineer, Agent Security

Note: The job is a remote job and is open to candidates in USA. OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a Security Engineer on the Agent Security Team, you will design and implement robust security frameworks to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems.

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

Skills

• 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
• Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines
• Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus
• Bias for action & ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one
• Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices
• Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable)

Company Overview

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