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Salary
$78k – $176k per year
Location
In office (Washington)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 10 · for this role: 8 · green card filings: 2
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 9, 2026. Booz Allen Hamilton scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Booz Allen Hamilton is an American consulting firm founded in 1914 that has spent most of the past century working for the United States government, and today derives almost all of its revenue from federal clients. It supplies technology and mission services to defence, intelligence, civil and health agencies, covering systems engineering, cyber operations, data platforms and increasingly artificial intelligence deployed inside classified environments. Headquartered in McLean, Virginia and listed on the New York Stock Exchange, it employs tens of thousands of security-cleared staff and competes with the other large federal services contractors for multi-year programme awards.
Secure AI Engineer

The Opportunity:

Are you looking for an opportunity to use your knowledge and technical skills to help organizations adopt artificial intelligence (AI) securely and responsibly. As a Secure AI Engineer, you'll combine your skills in AI engineering, cybersecurity, and offensive security to assess, harden, and improve AI-enabled systems. You'll have the chance to build your skills and solve real-world challenges in a fast-paced, agile environment. We are looking for someone like you to work closely with clients to design secure AI architectures, evaluate AI system resilience, identify vulnerabilities, and implement mitigations that enable safe deployment of generative AI and autonomous AI capabilities.

As a Secure AI Engineer on our team, you'll advise clients on the secure design, deployment, and governance of AI systems and generative AI applications. You'll conduct AI red team assessments against large language models (LLMs), retrieval-augmented generation (RAG) systems, AI agents, and multi-agent workflows. You will identify and demonstrate AI-specific attack vectors, including prompt injection, jailbreaks, indirect prompt injection, data poisoning, model inversion, extraction, and other adversarial techniques. You will develop recommendations and technical mitigations to improve AI system security, resilience, and trustworthiness. You will build, test, and evaluate agentic AI systems using modern orchestration frameworks and assess their security posture, design security testing methodologies, automation, and tooling for AI applications throughout the development lifecycle, and adapt and extend open-source AI frameworks, security tools, and evaluation platforms to meet client-specific requirements. You'll stay current with emerging AI threats, vulnerabilities, research, and industry best practices in this fast-paced world of AI.

Join us. The world can’t wait.

You Have:

  • 5+ years of experience building, deploying, or evaluating AI/ML systems
  • 3+ years of experience developing applications using LLMs and modern AI frameworks
  • Experience with red teaming AI systems, Adversarial AI, or AI Governance
  • Knowledge of AI security principles, secure AI development practices, AI attack techniques, and AI risk management
  • Bachelor's degree

Nice If You Have:

  • Experience with AI red teaming frameworks such as Microsoft's PyRIT, Garak, Inspect AI, OWASP GenAI tools, or similar platforms, working with open-source software, and modifying or extending existing frameworks to meet new use cases
  • Experience performing security assessments, penetration testing, or offensive security activities
  • Experience with agent orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or similar technologies
  • Experience implementing security controls for RAG systems, vector databases, AI gateways, and model-serving infrastructure
  • Experience with containerization, Kubernetes, CI/CD pipelines, and Infrastructure-as-Code
  • Experience contributing to or maintaining open-source projects
  • Knowledge of AI security guidance and frameworks, including the OWASP Top 10 for LLM applications, NIST AI Risk Management Framework (RMF), MITRE ATLAS, and emerging AI security standards
  • Knowledge of adversarial machine learning concepts
  • Bachelor's degree in CS, Cybersecurity, or Engineering
  • CISSP, OSCP, Security+, GIAC, or Cloud Security Certifications

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 $77,600.00 to $176,000.00 (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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
  • Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.

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