AI Gateway Security Engineer, Lead

Booz Allen Hamilton•McLean, VA

1d•Onsite

About The Position

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.

Requirements

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
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree

Nice To Haves

Experience with Kong AI Gateway
Experience deploying and managing kubernetes infrastructure
Experience using CI/CD to manage and deploy policy as code
Experience with Open Policy Agent (OPA)
Experience coding custom plugins for AI Gateways
Kong Certifications such as Kong Gateway Certified Associate Certification
Cloud security Certification such as CISSP, CCSP, Security+, AWS Security Specialty, or Microsoft Azure Security Engineer

Responsibilities

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.
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.