Agentic AI Developer

The Opportunity: 

As an experienced engineer, you know that Agentic AI systems are critical to understanding and processing massive datasets in an organization. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support optimizing organizational efficiency. As an Agentic AI Developer on our Air Power team, you’ll train, test, deploy, and maintain models that learn from data.   

In this role, you’ll own and define the direction of mission-critical solutions by applying cutting edge Agentic frameworks. You’ll be part of a large community of AI professionals across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to transform how the Air Force manages its day to day business. Your skills and extensive technical expertise will guide clients as they navigate the landscape of Agentic Frameworks

Work with us to solve real-world challenges and define ML strategy for the Department of War.  

Join us. The world can’t wait. 

You Have:  

• 2+ years of experience building production-grade software in Python, TypeScript, or Java with APIs and data services, such as FastAPI, Flask, REST, GraphQL, or SQL, and software engineering fundamentals, including testing, code review, and CI/CD

• 2+ years of experience developing and deploying AI-enabled applications, such as LLMs, RAG, GraphRAG, agentic workflows, or tool-calling, to solve mission problems in industry, government, or national security

• Experience building secure data foundations on enterprise cloud platforms, such as AWS, governed ingest and file exchange, data catalog and metadata, and data mesh-style data products to enable reuse across teams and bases

• Experience designing event-driven integrations and workflow automation, such as asynchronous messaging, job orchestration, or audit logging, to move from insight to action

• Experience developing computer vision and multimodal analytics pipelines, such as imagery segmentation or classification, point cloud processing, and report generation, and integrating outputs into downstream workflows

• Experience implementing MLOps or DevSecOps practices, such as CI/CD, containerization, automated testing, or model evaluation and monitoring, in constrained or regulated environments

• Experience partnering with domain SMEs, such as civil engineers, to translate tacit knowledge into explicit playbooks, decision logic, and human-in-the-loop tools that improve proficiency and consistency

• Ability to obtain a Secret clearance

• Bachelor’s degree in Computer Science, Software Engineering, or Data Science and 5+ years of experience in one of these fields, or Master’s degree in Computer Science, Software Engineering, or Data Science and 2+ years of experience in one of these fields

Nice If You Have:  

• Experience working with geospatial or 3D data, such as point clouds, LiDAR, or photogrammetry, or digital-twin or facility and asset data models

• Experience with knowledge-centric data systems, such as vector databases, knowledge graphs, or semantic search, to improve information findability and decision support

• Experience integrating sensor streams or IoT telemetry and edge-to-cloud data flows, such as Kafka, NATS, RabbitMQ or equivalent, for asset monitoring and situational awareness

• Experience deploying software and data or ML pipelines in disconnected, air-gapped, or classified environments

• Experience with cross-domain data handling constraints

• Experience with Kubernetes or OpenShift, cloud-native patterns, and Infrastructure as Code, such as Terraform, in DoD or IL environments

• Experience with RMF or STIG-aligned delivery

• Experience with AI-assisted software development tools and practices, such as code copilots, automated tests, or secure-by-design patterns, to increase delivery velocity responsibly.

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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.