AI Software Engineer

Booz Allen Hamilton • Arlington, VA

10d

About The Position

Booz Allen is seeking an AI Software Engineer to create and implement end-to-end AI and machine learning solutions that modernize client systems. The role focuses on developing user-focused software to improve organizational efficiency and decision-making, while accounting for the broader ecosystem, operating environment, and future enhancements. Candidates must complete a required skills assessment and meet its minimum proficiency threshold to continue in the hiring process. Applicants selected will undergo a security investigation and may need to meet eligibility requirements for access to classified information. The role requires the ability to obtain a Secret clearance.

Requirements

• At least 4 years of experience writing production-grade applications in a programming language such as Python, JavaScript, Rust, or Go.
• At least 2 years of experience with a frontend framework such as React or Angular.
• At least 1 year of experience building or maintaining 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 working with Agentic AI solutions.
• Experience with Linux systems, networking, and containerization, including Docker or Podman.
• Knowledge of federal cybersecurity best practices and standards, secure coding, and compliance requirements.
• Ability to obtain a Secret clearance.
• Bachelor’s degree in a computer science or engineering field and at least 4 years of software engineering experience, or at least 6 years of software engineering experience in lieu of a degree.
• Complete the required skills assessment and meet the minimum proficiency threshold to continue in the hiring process.

Nice To Haves

• Experience with AWS services and emulation environments such as LocalStack.
• Experience with secure on-premises deployments leveraging hypervisors such as ESXi.
• Experience integrating with SIEMs, firewalls, or endpoint protection systems.
• Knowledge of orchestration tools such as Kubernetes, including on-premises or air-gapped environments.
• TS/SCI clearance.
• Security+, Linux+, Kubernetes CKAD, AWS Solutions Architect, or a related certification.

Responsibilities

• Create and implement complete end-to-end AI and machine learning solutions.
• Modernize client systems with user-focused software solutions.
• Ensure solutions account for the broader ecosystem and operating environment, as well as future functionality and enhancements.

Benefits

• Health, life, and disability benefits.
• 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: Mid Level