The Opportunity:

This capability is transforming how mission stakeholders make sense of complex, multi‑INT environments. Built around a team of AI agents that fuse, detect, and forecast activity across diverse data streams, it gives operators and analysts a shared, explainable picture with every conclusion traceable to its source. As a Software Architect, you’ll shape the technical direction of this mission‑driven system, designing and evolving architectures that support scalable agent orchestration, physics‑informed analytics, and high‑assurance integration across distributed components. You’ll work closely with engineering teams and mission partners to translate emerging needs into system designs that accelerate insight, strengthen analytic confidence, and advance the capability’s ability to anticipate what matters next.

Join us. The world can’t wait. 

You Have:  

• 8+ years of experience designing, developing, or integrating software systems, including leading architecture efforts for distributed or mission‑focused platforms
• Experience creating or maintaining architecture products, interface specifications, or system design documentation for complex software ecosystems
• Experience with modern software development using languages such as Java, C++, or Python, and applying secure coding and integration practices
• Experience with real‑time or event‑driven data processing, streaming, or multi‑source data integration patterns
• Experience guiding engineering teams through design decisions, code reviews, and implementation within Agile development environments
• Experience evaluating technical tradeoffs and translating mission or stakeholder needs into actionable system requirements and architecture direction
• TS/SCI clearance
• Bachelor’s degree in CS or IT, or 10+ years of experience with software engineering in lieu of a degree

Nice If You Have:  

• Experience designing agent‑based or distributed decision systems, orchestration patterns, or autonomous component coordination
• Experience with physics‑informed analytics, signal processing, or multi‑INT data fusion approaches
• Experience with streaming frameworks, real‑time pipelines, or event‑driven architectures such as Pulsar, Kafka, or similar
• Experience with secure cloud environments, containerized workloads, or infrastructure automation tools such as Kubernetes and Terraform
• Experience building or integrating model‑driven or AI‑assisted capabilities into mission systems
• Experience mentoring engineering teams or shaping technical direction across multi‑disciplinary groups
• Possession of strong analytical and problem‑solving skills, for complex, multi‑source data ecosystems
• Master’s degree in CS, Engineering, or a related field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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.