AI​/ML Engineer

As an AI & ML Engineer on our national security team, you will build, test, deploy, and operate end‑to‑end AI pipelines that keep mission systems running securely and efficiently.

In this role, you will guide the development of mission‑critical AI solutions by building reproducible pipelines, applying automation best practices, and introducing emerging tools that enhance performance and reliability.

You will collaborate with cross‑functional teams of AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs to align AI and ML workflows with infrastructure and security requirements, ensuring seamless integration into production and mission systems. You will contribute to solutions that optimize data flow, automate operational workflows, ensure monitoring and observability, and support resilient mission execution across hybrid compute environments.

• 6+ years of experience with software engineering
• Experience with Python
• Experience developing and maintaining AI and ML pipelines for model training, validation, and deployment
• Experience integrating AI and ML capabilities into production systems and mission workflows
• Experience implementing monitoring and observability solutions for model performance, resource utilization, and system health
• Knowledge of hybrid compute environments such as cloud and on‑prem
• Ability to automate workflows and build reproducible, scalable, and efficient ML and AI systems
• Ability to collaborate with cross‑functional teams, such as AI Model Engineers, Data Engineers, Cloud Architects, or ISSE, to align workflows with infrastructure and security requirements
• TS/SCI clearance with a polygraph
• HS diploma or GED

• 10+ years of experience with software engineering
• Experience with Rust for systems‑level or high‑performance components
• Experience evaluating or adopting emerging AI and ML frameworks, libraries, or tool chains
• Experience with containerization or orchestration technologies such as Docker or Kubernetes
• Experience in cloud services relevant to AI and ML such as AWS or Azure
• Knowledge of CI/CD for ML pipelines or infrastructure‑as‑code such as Terraform or Cloud Formation
• Knowledge of ML or MLOps orchestration tools such as Airflow, Kubeflow, or MLflow
• Knowledge of distributed training, GPU optimization, or advanced model deployment patterns
• Bachelor’s degree

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

The projected compensation range for this position is $99,000.00 to $ (annualized USD). This posting will close within 90 days from the Posting Date.

• 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.

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.

We offer a comprehensive benefits package, including health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work‑life programs, and dependent care.