AI Software Engineer, Senior

Booz Allen Hamilton • Laurel, MD

22h • $86,800 - $198,000

About The Position

Booz Allen is seeking a senior AI software engineer to create artificial intelligence and machine learning solutions addressing national security challenges. The role develops and implements end-to-end solutions that modernize client systems, taking into account the broader ecosystem, operating environment, and future functionality and enhancements. The engineer will also deepen skills in areas such as Kubernetes and MLOps.

Applicants must hold an active TS/SCI clearance with a polygraph. The position requires either a bachelor's degree in a computer science field and at least seven years of software engineering experience, or at least 11 years of software engineering experience in lieu of a degree.

The projected annual compensation range is $86,800 to $198,000. Booz Allen offers health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. Eligibility for benefit programs depends on regular weekly hours worked.

Requirements

• At least 4 years of experience building production-grade applications using languages such as Python, Rust, Go, Scala, or Java.
• At least 2 years of experience building or maintaining production-grade RESTful APIs or software interfaces.
• At least 1 year of experience designing, configuring, and implementing software systems in production environments.
• Experience with CI/CD tools such as GitLab CI or Jenkins, and source control systems such as 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 with a polygraph is required.
• A bachelor's degree in a computer science field and at least 7 years of software engineering experience, or at least 11 years of software engineering experience in lieu of a degree.

Nice To Haves

• Experience with AWS services and emulation environments, including LocalStack.
• Experience with secure on-premises 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-premises or air-gapped environments.
• Security+, Linux+, or DevOps-related certification.

Responsibilities

• Create and implement complete end-to-end solutions that modernize client systems.
• Ensure solutions account for the broader ecosystem and operating environment, as well as future functionality and enhancements.
• Develop artificial intelligence and machine learning solutions to help address national security problems.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior