Summary
What you’ll impact
The Security Engineer on the Agent Security Team will design and implement security frameworks, policies, and controls to protect the organization’s agentic AI systems and critical assets. The role involves building security tooling, developing threat models, and collaborating across infrastructure, product, research, safety, and security teams to ensure safe deployment at scale.
Responsibilities
What you'll do
- 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.
Requirements
What you’ll bring
- 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).