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Booz Allen

Builds AI and cyber systems for the US government

AI/ML Engineer

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

About the Job

Requirements

  • At least 5 years of experience developing artificial intelligence, machine-learning, or advanced analytics solutions.
  • Experience with Python and machine-learning libraries, and with building and deploying production machine-learning systems.
  • Experience with agentic artificial-intelligence frameworks, large language model integrations, Azure OpenAI, or retrieval-augmented generation architectures.
  • Ability to develop, enhance, and maintain machine-learning models for anomaly detection, data quality assessment, and predictive modeling across workforce and operational datasets; evaluate model accuracy, performance, drift, and operational effectiveness; and refine feature engineering and scoring strategies with data science and engineering teams.
  • Ability to design, build, and maintain Azure-based data and machine-learning pipelines, including automated scoring and model execution workflows, and develop scalable cloud-native solutions supporting batch and event-driven processing, orchestration, scheduling, monitoring, and artificial-intelligence workload health management.
  • Ability to support containerized deployments using Docker and Kubernetes, monitor production workloads, troubleshoot operational issues, and optimize artificial-intelligence platform reliability, performance, and cost efficiency while maintaining continuous integration and continuous delivery pipelines, infrastructure as code, and configuration management practices.
  • Ability to evaluate emerging artificial-intelligence technologies, contribute to agentic and orchestration proof-of-concepts, and communicate technical concepts, solutions, risks, and recommendations to technical and non-technical stakeholders.
  • Ability to explain technical concepts clearly to non-technical stakeholders, establish collaborative relationships with government clients, and work collaboratively and independently with initiative to complete complex tasks.
  • Ability to obtain a Secret clearance.
  • Bachelor’s degree in STEM.

Responsibilities

  • Design and develop tools and capabilities for the customer’s mission, then evolve them using advanced technology solutions.
  • Support the prototyping team in helping the client evaluate and integrate new technologies into its mission.

Desired Qualifications

  • Experience with Azure Machine Learning, Azure Functions, Azure Storage, Azure Data Factory, or Azure DevOps.
  • Experience combining machine-learning approaches with deterministic business rules and scoring frameworks.
  • Experience supporting federal or highly regulated environments.
  • Strong written and verbal communication skills.

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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