Join us. The world can’t wait.

You Have:

• 8+ years of experience in sof tware engineering or AI / ML engineering, including developing and deploying AI / ML systems
• Experience developing in Python and applying sof tware engineering practices, including Git, automated testing, code review, and dependency management
• Experience building applications using large language models, including tool use, retrieval augmented generation, and agent orchestration
• Experience designing or evaluating system architectures involving APIs, data pipelines, model services, and enterprise integrations
• Experience applying cybersecurity principles to sof tware or AI systems, including identity and access management, t rus t boun dari es, secure data handling, and threat modeling
• Experience with traditional ML approaches and algorithms and their applications to cybersecurity
• Knowledge of NIST security and risk management frameworks, including SP 800-53 and AI Risk Management Framework, and Zero T rus t Architecture principles, including identity-based access, least privilege, and continuous verification
• Knowledge of AI-specific security risks and approaches for evaluating and mitigating vulnerabilities in generative AI and agentic systems
• Ability to obtain a Secret clearance
• Bachelor’s degree in CS, Mathematics, Engineering, or Cybersecurity

Nice If You Have:

• Experience developing agentic AI applications using frameworks or platforms such as Strands Agents, LangGraph, Amazon Bedrock, GraphRAG, or comparable technologies, including integrating agents with workflow orchestration tools such as Temporal
• Experience securing tool integrations using Model Context Protocol or other agent communication and integration mechanisms
• Experience conducting AI red teaming, adversarial testing, or automated security evaluations of models and agentic workflows
• Experience implementing AI gateways, policy enforcement, execution sandboxes, agent observability, or human-in-the-loop controls
• Experience deploying AI applications in cloud or on-premises environments using containers, CI / CD pipelines, and Infrastructure-as-Code
• Experience with model training, fine-tuning, evaluation, or serving using frameworks such as PyTorch or comparable technologies
• Experience with distributed computing, data engineering, feature pipelines, or relational and vector databases
• Experience applying NIST guidance and Zero T rus t Architecture principles to AI systems, and translating security requirements into architectural controls, implementation patterns, and assessment evidence
• TS/SCI clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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 $99,000.00 to $225,000.00 (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.