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Booz Allen

Builds AI and cyber systems for the US government

Data Integration and Artificial Intelligence Subject Matter Expert

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMons, Belgium$112.8k - $257k /yrIn-person

About the Job

Requirements

  • Experience applying large language models, natural language processing, and computer vision to intelligence use cases.
  • Experience leading software development or artificial intelligence projects.
  • Knowledge of the Department of Defense, the Intelligence Community, and the Intelligence Cycle.
  • Ability to gather customer requirements and lead Agile teams.
  • Ability to achieve on-time and on-budget delivery.
  • Ability to build and sustain professional relationships.
  • Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
  • Ability to meet deadlines.
  • A Top Secret/Sensitive Compartmented Information clearance is required.
  • A bachelor's degree and 5+ years of data integration experience, or a master's degree and 3+ years of data integration experience.

Responsibilities

  • Design and develop scalable AI architectures aligned with mission, operational, and client requirements.
  • Translate mission needs and technical requirements into AI-enabled solution designs and implementation plans.
  • Partner with cross-functional teams to integrate AI capabilities into existing platforms, workflows, and data environments.
  • Lead the deployment, testing, and optimization of machine learning and AI solutions in production settings.
  • Evaluate and recommend AI tools, platforms, and frameworks based on performance, security, and mission fit.
  • Ensure AI solutions follow security, compliance, governance, and responsible AI best practices.
  • Provide technical leadership and guidance to engineers, data scientists, and program stakeholders.
  • Monitor solution performance and drive continuous improvement in model accuracy, reliability, and operational efficiency.
  • Develop and maintain architecture documentation, technical roadmaps, and stakeholder briefings.
  • Support client engagement by helping shape AI strategy, solution concepts, and adoption approaches.

Desired Qualifications

  • Experience with NATO special operations doctrine, organization, and employment.
  • Experience at a U.S. Theater Special Operations Command or Combatant Command.
  • Experience working in a joint overseas environment and joint or multinational special operations.
  • Experience integrating AI and machine learning capabilities into software architecture design.
  • Experience with AI concepts and tools supporting deep learning, machine learning, signal processing, and natural language processing.
  • Experience with project management, client relationship building, executive communication, and producing technical documentation and designs.
  • Knowledge of Department of Defense AI and machine learning policies and practices relating to big data and analytics.
  • Knowledge of database management concepts, storage, query, and retrieval methods.
  • Knowledge of statistical analysis and programming languages for performing analysis.
  • Verbal and written communication skills, interpersonal skills, and a professional demeanor.

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
11-50
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

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