Booz Allen Hamilton-posted 3 months ago
$86,800 - $198,000/Yr
Full-time • Mid Level
Arlington, VA
Professional, Scientific, and Technical Services

As an artificial intelligence (AI) software engineer, you know that good software is more than just a nice-looking interface and data. Today, you need to develop user-focused solutions that increase organizational efficiency and enable better decision-making. Booz Allen is the leading provider of AI services to the nation—we're looking for a software engineer like you to create AI and machine learning solutions that help solve the world's toughest problems. On our team, you'll create and implement complete end-to-end solutions that modernize client systems. You'll ensure that your team's solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements. Ready to transform systems for the better with AI technology? Join us. The world can't wait.

  • Develop user-focused solutions that increase organizational efficiency.
  • Create AI and machine learning solutions to solve complex problems.
  • Implement complete end-to-end solutions that modernize client systems.
  • Ensure solutions consider the broader ecosystem and future enhancements.
  • 4+ years of experience building production-grade applications using languages such as Python, Rust, Go, Scala, or Java.
  • 2+ years of experience building or maintaining production-grade RESTful APIs or software interfaces.
  • 1+ years of experience designing, configuring, and implementing software systems in production environments.
  • Experience with CI/CD tools, including GitLab CI or Jenkins, and source control systems, including Git.
  • Experience with Linux systems, networking, and containerization, including Docker or Podman.
  • Knowledge of federal cybersecurity best practices and standards, secure coding, and compliance requirements.
  • TS/SCI clearance.
  • Bachelor's degree in a CS or Engineering field and 4+ years of experience with software engineering, or 9+ years of experience with software engineering in lieu of a degree.
  • Experience with AWS services and emulation environments, including LocalStack.
  • Experience with secure on-prem deployments leveraging hypervisors, including ESXi.
  • Experience with Ansible for configuration management and infrastructure automation.
  • Experience working with Agentic AI solutions.
  • Experience integrating with SIEMs, firewalls, or endpoint protection systems.
  • Knowledge of orchestration tools such as Kubernetes, including on-prem or air-gapped.
  • TS/SCI clearance with a polygraph.
  • Security+, Linux+, or DevOps related Certification.
  • Health, life, and disability insurance.
  • Financial and retirement benefits.
  • Paid leave and professional development.
  • Tuition assistance and work-life programs.
  • Dependent care support.
  • Recognition awards program for exceptional performance.
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