About the role We are seeking a full-stack developer to help build AI-powered cyber defense applications and agent workflows. This role combines hands-on prototype development with integration and support of existing production infrastructure. You will develop applications that connect security telemetry, machine learning models, monitoring agents, and specialized response agents. You will also help build the underlying agent systems, including coordination, event escalation, secure information sharing, and controlled response execution. The platform uses a tiered approach, lightweight detection models and smaller monitoring agents assess activity and escalate relevant events to more capable agents configured for investigation and response. These workflows should adapt as new information becomes available and operate independently within defined permissions. The work primarily involves integrating existing models, inference services, and security tools. You will collaborate with cybersecurity and infrastructure specialists to turn concepts into working prototypes, evaluate their behavior, and support their progression toward operational use. Responsibilities Develop full-stack applications: Build web interfaces, dashboards, backend services, and APIs for configuring agents, reviewing security events, and managing investigations and response workflows. Build agent workflows and networks: Implement coordination, task delegation, shared context, dynamic routing, and event-driven escalation between agents. Connect detection and response systems: Integrate conventional neural networks, anomaly detectors, and smaller monitoring agents with larger, specialized investigation and response agents. Develop testing sandboxes: Create isolated, reproducible environments for testing individual agents and multi-agent swarms using simulated incidents, synthetic telemetry, and replayable scenarios. Integrate existing models and tools: Connect model APIs, inference services, security platforms, and response tools. Implement tool calling, structured outputs, context retrieval, and validation. Support secure data sharing: Develop messaging and shared-state mechanisms with appropriate access controls, credential handling, provenance tracking, and audit trails. Implement controlled autonomy: Enable independent operation within defined permissions, with approval gates, execution limits, emergency stops, and recovery mechanisms where needed. Evaluate system behavior: Test escalation accuracy, response effectiveness, false positives, latency, cost, and failure handling. Provide visibility into agent decisions and supporting evidence. Support production infrastructure: Troubleshoot integrations, maintain services, improve monitoring, and contribute fixes and enhancements to existing systems. Coordinate delivery: Translate requirements into actionable tasks, document implementation decisions, and collaborate on code reviews and project priorities. Requirements 6+ years of experience with software development, including backend services, application development, system integrations, and performance improvements 4+ years of experience developing full-stack applications and API integrations, including user interfaces, backend services, application state, and relational databases 2+ years of experience developing, monitoring, or supporting cloud production systems, including troubleshooting application defects, data pipelines, and service integrations 1+ year of experience integrating AI-powered workflows into existing applications or business processes Experience in JavaScript or TypeScript and backend development using technologies such as Node.js, Python, or C# and building REST or GraphQL integrations and working with SQL databases Experience with modern frontend frameworks such as Angular, React, or Next.js and event-driven processing, asynchronous workflows, and coordination between dependent services Experience developing software using agentic coding tools is required, including using agents to implement features, investigate defects, refactor code, and develop tests Knowledge of application security boundaries, authentication, authorization, isolated execution, and secure data exchange Ability to develop working prototypes, troubleshoot unfamiliar systems, and maintain existing production applications Bachelor's degree in Computer Science, Software Engineering, Information Technology, or Cybersecurity Benefits 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.
