About this role
Summary: Design, build, and deploy autonomous AI agents for U.S. Cyber Command cyber operations. Develop agent architectures, decision-making logic, and orchestration frameworks to enhance mission execution and operational capacity in distributed environments.
Agentic AI Engineer
The Opportunity:
As an Agentic AI Engineer, you know that autonomous systems and artificial intelligence are transforming how cyber missions are planned, executed, and scaled. Your ability to design, build, and deploy intelligent agents capable of reasoning through complex tasks and interacting with real-world systems makes you an integral part of delivering mission-focused solutions. We need your technical expertise and problem-solving skills to support the development of cutting-edge agentic AI capabilities that accelerate mission effectiveness, expand operational capacity, and increase the throughput of cyber operations.
As an Agentic AI Engineer supporting U.S. Cyber Command cyber operations, you'll design, develop, deploy, and maintain AI agents capable of autonomously executing multi-step workflows, interacting with mission systems, and augmenting cyber operator decision-making. In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit AI, machine learning, and software engineering technologies to complex operational challenges.
You'll learn from a talented team of AI and cyber professionals across the company and collaborate with cyber operators, exploitation analysts, target analysts, systems engineers, and cyber capability developers to deliver scalable, production-ready agentic solutions that enhance mission execution across distributed environments. You'll develop agent architectures, decision-making logic, memory systems, and orchestration frameworks while implementing evaluation, monitoring, and governance approaches that ensure reliable and predictable performance in mission environments.
Your technical expertise will help clients navigate the rapidly evolving landscape of large language models, agentic architectures, AI orchestration frameworks, and autonomous systems while advancing capabilities that provide operational advantage in cyberspace. Work with us to solve real-world challenges and define AI strategy for cyber operations and national security-related missions.
Join us. The world can't wait.
You Have:
- 5+ years of experience designing and implementing software systems in Python
- Experience creating AI agents or multi-step LLM workflows, including defining agent behavior, sequencing, or state-transition logic
- Experience integrating tools, APIs, or external services into AI-driven or workflow-oriented systems
- Experience building or maintaining memory systems such as session state, long-term persistence, or vector-based retrieval
- Experience implementing inference request flows, including handling latency, token limits, and batching strategies
- Experience writing integration tests for multi-service or multi-component systems
- Knowledge of containerization and CI/CD pipelines
- Knowledge of distributed system patterns such as asynchronous task handling, message routing, or service-based architectures
- Ability to obtain a TS/SCI clearance with a polygraph
- Bachelor's degree in Computer Science, Engineering, or Data Science
Nice If You Have:
- Experience architecting multi-agent workflows, including coordination patterns such as hierarchical, collaborative, or parallel tasking
- Experience implementing state machines, planners, or decision-graph logic for agent behavior and tool routing
- Experience designing agent memory architectures, such as hybrid short-term or long-term memory systems or vector-based semantic recall
- Experience developing evaluation, observability, and monitoring solutions for agentic systems, including traceability of decisions and tool calls
- Experience with orchestration frameworks such as LangGraph, CrewAI, or AutoGen and supporting data stores such as Redis or PostgreSQL
- Experience integrating cloud AI platforms such as AWS Bedrock AgentCore, Google Gemini Enterprise Agent Platform, or Microsoft Foundry Agent Service
- Experience implementing resilience patterns such as retries with backoff, timeouts, circuit breakers, or safe-mode fallbacks for agent behavior
- Experience with Docker, Kubernetes, or infrastructure-as-code tooling
- Possession of excellent written and verbal communication skills
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 $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.