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. 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
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree
Nice If You Have:
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
Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
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.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.