AI Gateway Security Engineer, Lead

AI Gateway Security Engineer, LeadThe Opportunity:

Designs, deploys, integrates, and maintains enterprise AI gateway capabilities across complex, multi-cloud and federal environments. Leads implementation of AI security controls, including guardrails, policy enforcement, secure API integrations, and machine-to-machine authentication supporting LLM inference and agent-based architectures. Works without considerable direction and mentors and may supervise team members. Develops scalable, highly available security architectures and automates policy-as-code, remediation workflows, and governance controls using Kubernetes, Terraform, CI/CD, APIs, scripting, and OPA. Leads continuous improvement of security workflows, playbooks, escalation paths, service-level expectations, and governance processes supporting Wiz and cloud security tools. Partners with cloud engineering, security operations, compliance, DevSecOps, application, and system-owner teams to operationalize findings, drive remediation to closure, and mentor technical team members.

Join us. The world can't wait.

You Have

* 10+ years of experience in cloud security, cybersecurity operations, security engineering, or vulnerability management * Experience deploying, configuring, and administering AI security measures such as AI gateways and guardrails in large, complex, and multi-cloud environments * Experience with API integrations and machine to machine authentication and authorization such as API keys and OAuth * Experience with AI application and agent architectures or protocols, including LLM inference, MCP, and A2A * Experience supporting security tooling within federal environments * Experience building high availability architectures to support enterprise scale deployments * Ability to implement, operationalize, and maintain enterprise cloud security policies and governance controls * Ability to automate tooling and workflows via APIs, Terraform, Kubernetes, or scripting *