Lead AI Gateway Security Engineer

Booz Allen Hamilton

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
McLean, VAWashington, DC
Salary
$112,800–$257,000 / yr
Posted
14 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $185k
$95k most similar roles pay here $274k

This role pays more than 55% of similar roles. Most pay $154,600–$211,400 — the shaded band above. At the midpoint, this role pays about $185k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Lead AI Gateway Security Engineer

The AI Gateway Security Engineer, Lead role involves designing, deploying, and maintaining enterprise AI gateway capabilities across complex multi-cloud and federal environments. You will lead the implementation of security controls, including guardrails, policy enforcement, secure API integrations, and machine-to-machine authentication for LLM inference and agent-based architectures. Day-to-day responsibilities include building scalable high-availability security architectures, automating policy-as-code, and managing remediation workflows while mentoring team members. You will utilize a technical stack including Kubernetes, Terraform, CI/CD, APIs, scripting, and Open Policy Agent (OPA) to manage tools like Wiz. The role focuses on the specific challenge of securing AI infrastructure and governance within federal contexts. Key competencies include experience with Kong AI Gateway, cloud security policies, and specialized protocols such as MCP and A2A to ensure secure enterprise-scale deployments.

What you'll do

  • Design and maintain enterprise AI gateway capabilities across multi-cloud and federal environments.
  • Implement AI security controls including guardrails, policy enforcement, and secure API integrations.
  • Manage machine-to-machine authentication for LLM inference and agent-based architectures.
  • Develop scalable, high-availability security architectures using Kubernetes, Terraform, and CI/CD pipelines.
  • Automate policy-as-code, remediation workflows, and governance controls using OPA and scripting.
  • Lead the continuous improvement of security playbooks, escalation paths, and service-level expectations.
  • Mentor technical team members and supervise staff in executing security operations.

What we're looking for

  • 10+ years of experience in cloud security, cybersecurity operations, security engineering, or vulnerability management.
  • Experience deploying and managing AI security measures like gateways and guardrails in multi-cloud environments.
  • Experience with API integrations and machine-to-machine authentication such as API keys and OAuth.
  • Experience with AI application architectures including LLM inference, MCP, and A2A protocols.
  • Experience supporting security tooling within federal environments.
  • Ability to automate workflows using APIs, Terraform, Kubernetes, or scripting.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
  • Bachelor's degree.

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