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Booz Allen

Builds AI and cyber systems for the US government

Artificial Intelligence and Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeCamp Lejeune, NC, USA$99k - $225k /yrIn-person

About the Job

Requirements

  • Experience leading the deployment and operationalization of scalable AI microservices, including developing production-grade APIs using containerization and orchestration to deliver automated model serving and CI/CD pipelines for production applications.
  • Experience with data orchestration and containerization tools such as Docker, Kubernetes, NIFI, or Airflow to design, deploy, and maintain scalable ETL/ELT pipelines, data flows, and production microservices in cloud environments.
  • Experience leading or participating in cross-functional efforts to complete ATO accreditation for releasing products into a production environment.
  • Experience implementing MLOps best practices, including model monitoring, drift detection, and automated retraining workflows, while maintaining compliance in regulated cloud environments.
  • Experience with programming and scripting languages such as Python, Java, Bash, Shell, SQL, HCL, YAML, JavaScript, or TypeScript to support full-stack development efforts.
  • Experience communicating complex technical concepts to technical and non-technical audiences.
  • Experience creating architecture diagrams, data flow diagrams, and system design documentation to support cross-functional collaboration and stakeholder alignment.
  • Knowledge of NIST SP 800-53 controls.
  • Secret clearance is required.
  • A bachelor's degree is required.

Responsibilities

  • Design, build, and operationalize scalable solutions in secure enterprise environments integrating datasets from disparate systems.
  • Work directly with the client and stakeholders to architect data-driven solutions that enhance situational awareness and optimize mission execution.
  • Apply technical knowledge in data orchestration and in developing and deploying solutions to production environments to inform the client's technical strategy for designing and implementing complex systems.

Desired Qualifications

  • Experience building ETL/ELT pipelines from external data lakes and systems such as the War Data Platform (WDP), Palantir Maven Smart System (MSS), Azure, AWS, GCP, and SharePoint.
  • Experience with other Department of War enterprise data platforms such as Advana or MSS.
  • Experience with Lean-Agile methodologies and frameworks such as Scrum or Scaled Agile Framework (SAFe).
  • Experience managing project workflows and documentation across Jira and Confluence for alignment with concurrent initiatives.
  • Knowledge of USMC operational planning, intelligence cycles, or logistics processes.
  • TS/SCI clearance.
  • A master's degree in an Artificial Intelligence or Machine Learning field.

About the Company

Booz Allen

Builds AI and cyber systems for the US government

Booz Allen builds and runs technology for the U.S. government, mostly for the military and intelligence agencies, and its engineers work alongside consultants who know each agency's mission. In 1958, it helped the U.S. Navy create PERT, a project-scheduling method first used on the Polaris submarine missile program and later adopted across government and industry. Its teams design cyber defenses, AI and data tools, and battlefield communications, and it sells its own products, such as Vellox, a suite of AI tools that spot and fight off hackers. Agencies pay mainly through multi-year contracts that reimburse costs, bill hours, or set a fixed price. Booz Allen was founded in 1914 and is based in McLean, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

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