AI Gateway Security Engineer, Lead

About the role

The 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.

Responsibilities

• 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.
• 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.

Qualifications

• Bachelor's degree.

Skills

• 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.

Benefits

Join us. The world can't wait. You Have: 10+ years of experience in cloud security, cybersecurity operations, security engineering, or vulnerability managementExperience deploying, configuring, and administering AI security measures such as AI gateways and guardrails in large, complex, and multi-cloud environmentsExperience with API integrations and machine to machine authentication and authorization such as API keys and OAuthExperience with AI application and agent architectures or protocols, including LLM inference, MCP, and A2AExperience supporting security tooling within federal environmentsExperience building high availability architectures to support enterprise scale deploymentsAbility to implement, operationalize, and maintain enterprise cloud security policies and governance controlsAbility to automate tooling and workflows via APIs, Terraform, Kubernetes, or scriptingAbility to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

Pay

$112,800.00 to $257,000.00 (annualized USD)

Schedule

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.