Secure AI Engineer

Secure AI Engineer role supporting the design, assessment, hardening, and improvement of AI-enabled and generative or autonomous AI systems for safe deployment.

Responsibilities

• Design secure AI architectures, evaluate AI system resilience, identify vulnerabilities, and implement mitigations for safe deployment of generative AI and autonomous AI capabilities
• Advise clients on secure design, deployment, and governance of AI systems and generative AI applications
• Conduct AI red team assessments targeting LLMs, retrieval-augmented generation (RAG) systems, AI agents, and multi-agent workflows
• Identify and demonstrate AI-specific attack vectors, including prompt injection, jailbreaks, indirect prompt injection, data poisoning, model inversion, extraction, and other adversarial techniques
• Develop technical recommendations and mitigations to improve AI system security, resilience, and trustworthiness
• 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 across the development lifecycle
• Adapt and extend open-source AI frameworks, security tools, and evaluation platforms to meet client-specific requirements
• Stay current with emerging AI threats, vulnerabilities, research, and industry best practices

Requirements

• 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

Technologies

• Microsoft’s PyRIT
• Garak
• Inspect AI
• OWASP GenAI tools
• LangGraph
• CrewAI
• AutoGen
• Semantic Kernel
• OpenAI Agents SDK
• Vector databases
• Kubernetes
• CI/CD pipelines
• Infrastructure-as-Code

Benefits

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program acknowledging employees for exceptional performance and superior demonstration of 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

Identity Verification

• Complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud
• Be on camera during interviews and assessments
• Booz Allen reserves the right to take your picture to verify your identity and prevent fraud

Candidate AI Usage Policy

• 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

• Employees working virtually are generally expected to have their cameras on during meetings
• Remote: there may still be occasions when you are required to work in person at a Booz Allen or customer facility
• Hybrid: expected to work from a Booz Allen or customer facility, in alignment with your leadership’s expectations and the needs of the role
• Onsite: work will primarily be performed full-time at a customer facility

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

Location: Washington, DC (onsite)

Salary: USD 77,600 - 176,000 per yearly

Minimum experience: 3 years

Education: Bachelor’s degree