Senior AI Security Engineer

Design and ship the runtime guardrails, identity, and policy enforcement layer that secures agent action across customer enterprises.

Responsibilities

• Architect runtime policy engines that govern agent tool-use, data access, and decision authority.
• Build detection and response primitives for prompt-injection, data-exfiltration, and rogue-agent scenarios.
• Partner with customer security teams during deployments and incident reviews.
• Drive the agent-security threat model used across our reference architecture.

Requirements

• 5+ years in security engineering — application, cloud, or identity security.
• Hands-on with at least one LLM agent framework and the OWASP LLM Top 10.
• Strong systems-thinking; comfortable in Python or Go and modern cloud (AWS/Azure/GCP).
• Track record of shipping security software that customers actually deployed.

Nice to have

• Experience with policy engines (OPA, Cedar) or zero-trust architectures.
• Prior contributions to security frameworks or open-source security projects.