The Opportunity:

Are you looking to bring strong hands-on technical skills, including software and integration, to cybersecurity and mission challenges affecting Navy efforts in the San Diego region? Our team is a skilled group that partners deeply with clients and mission stakeholders: we clarify the problem, shape technical approaches, and deliver practical outcomes in secure, compliant settings. This is not a typical role on a large software product team. It is a multidisciplinary environment where you may move between advisory conversations, solution and implementation planning, and focused integration and implementation, including AI-enabled automation and analytics where they reduce risk and improve speed and quality of cyber and mission workflows.

You will work with cybersecurity specialists, engineers, and partners supporting Navy customers and warfare centers. Success requires curiosity, ownership, and comfort learning in classified or controlled environments. We value clear communication, sound judgment, and the ability to translate between mission language and technical reality, always with security, RMF, and operational constraints in view.

With mentorship and hands-on problem-solving, we deliver outcomes that reduce cyber risk and support the fleet and ashore enterprise. Work with us to modernize Navy cyber missions through responsible use of data, automation, and AI.

What You’ll Do:

• Understand the client and the problem: participate in discussions with mission and technical partners to clarify objectives, constraints, and security or compliance boundaries.
• Shape solutions: contribute to technical approaches, tradeoff analysis, and implementation plans such as what to build or integrate, how to phase work, and what evidence or controls matter.
• Deliver hands-on technical work: design, implement, test, and troubleshoot scripts, services, APIs, or automation, including AI/LLM-assisted workflows where appropriate, so recommendations are credible and deployable, not slide-only.
• Integrate systems and data: work with REST/HTTP APIs, data stores, and enterprise or cloud patterns to connect capabilities safely and repeatably.
• Document and communicate: produce clear artifacts for technical and non-technical audiences such as design notes, limitations, operational implications, or security-relevant behaviors.
• Respect the cyber context: align work with RMF, control expectations, and secure engineering practices, and partner with cybersecurity and authorization stakeholders.
• Improve how we work: use version control, review practices, and lightweight testing appropriate to the engagement, and stay current on responsible AI expectations in government settings.

Join us. The world can’t wait.

You Have:

• 4+ years of experience in a role that includes software development, integration, or automation in a professional environment
• Experience in Python for developing, testing, and debugging components others rely on services, automation, and data or integration utilities
• Experience integrating APIs and working with relational, document, or NoSQL stores, and tracing failures across components
• Experience delivering in small teams with Agile, Kanban, or structured collaboration, and with Git and code review norms
• Experience with cloud or enterprise deployment patterns or on-prem integration environments
• Ability to translate mission or security requirements into concrete technical tasks and explain tradeoffs to stakeholders
• Secret clearance
• Bachelor’s degree in Computer Science, Computer Engineering, Cybersecurity, Information Systems, or a STEM field
• DoD 8570/8140 IAT Level II certification

Nice If You Have:

• Experience designing AI/ML or LLM-enabled architectures, including model selection, workflow design, orchestration, and integration into mission workflows
• Experience with AI/ML or LLM-enabled patterns, including RAG, embeddings, vector search, prompt or tool orchestration, or frameworks such as OpenAI Agents SDK, Google ADK, LangChain, or comparable
• Experience with enterprise data and analytics platforms the team may leverage including DoD's Advana or War Data Platform (WDP), Databricks, and Palantir Foundry
• Experience implementing AI/ML or LLM solutions and model deployment locally or through cloud-based technologies
• Experience conducting process transformation analyses, mapping as-is and to-be workflows, and developing solution blueprints
• Experience with LLM model registries, such as Hugging Face, embedding models, and vector databases
• Experience with cloud-based technologies, such as AWS, Azure, or GCP, and software version control and containerization
• Knowledge of networking, security, and system architecture
• TS/SCI clearance
• Master's degree in Computer Science, Computer Engineering, Information Systems ora  related technology field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;Secret clearance is required.

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.

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.