AI Developer

About the role

As an experienced AI engineer, you will train, test, deploy, and maintain models that learn from data. You’ll own and define the direction of critical solutions by applying cutting-edge agentic frameworks. Collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions that transform how the Air Force manages its day-to-day business. Your technical expertise will guide clients as they navigate the landscape of agentic frameworks.

Responsibilities

• Build and deploy production-grade AI-enabled applications such as LLMs, RAG, and agentic workflows to solve mission problems.
• Design event-driven integrations and workflow automation, including asynchronous messaging or audit logging, to move from insight to action.
• Implement MLOps or DevSecOps practices such as CI/CD, containerization, automated testing, or model evaluation.
• Collaborate with a large community of AI professionals, data engineers, data scientists, solutions architects, and product owners.

Requirements

• 2+ years of experience building production-grade software in Python, TypeScript, or Java with APIs and data services, including FastAPI, Flask, REST, GraphQL, or SQL.
• Experience developing and deploying AI-enabled applications such as LLMs, RAG, and agentic workflows.
• Ability to design event-driven integrations and workflow automation.
• Ability to implement MLOps or DevSecOps practices.
• Secret clearance.
• Bachelor’s degree in Mathematics, Computer Science, Software Engineering, or Data Science.

Preferred Qualifications

• Experience working with geospatial or 3D data, including point clouds, LiDAR, or photogrammetry, or digital-twin or facility and asset data models.
• 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 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.
• TS/SCI clearance.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Recognition awards program for exceptional performance and superior demonstration of company 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.

Pay

Salary is determined by various factors, including location, education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).

Schedule

This role may be remote, hybrid, or onsite:

• Remote: Occasional in-person work at a Booz Allen or customer facility may be required.
• Hybrid: Frequent work from a Booz Allen facility, with potential visits to customer facilities as needed.
• Onsite: Work primarily performed at a Booz Allen office or customer facility.

Employees working virtually are generally expected to have their cameras on during meetings to support engagement and effective communication.

Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information. Secret clearance is required.