AI Software Engineer

Booz Allen Hamilton • Arlington, VA

1d • $86,800 - $198,000

About The Position

Booz Allen is seeking an AI software engineer to develop user-focused software that improves organizational efficiency and decision-making. The role involves creating and implementing end-to-end solutions that modernize client systems, while accounting for the broader ecosystem, operating environment, and future functionality and enhancements. The position focuses on AI and machine learning solutions for challenging problems.

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Candidates must complete the required skills assessment and meet the minimum proficiency threshold to continue in the hiring process. The hiring process includes identity verification using biometrics and AI; candidates are expected to be on camera during interviews and assessments. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted.

The projected annual compensation range is $86,800 to $198,000 USD. Salary is determined by factors including location, education, skills, competencies, experience, contract-specific affordability, and organizational requirements. The posting will close within 90 days of its posting date.

Booz Allen describes a people-first culture that prioritizes collaboration. Employees working virtually are generally expected to have their cameras on during meetings. Remote roles may occasionally require in-person work at a Booz Allen or customer facility; hybrid roles require facility work in alignment with leadership expectations and role needs; onsite roles are primarily performed full-time at a customer facility.

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.
• A 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.
• Completion of the required skills assessment and achievement of the minimum proficiency threshold to continue in the hiring process.

Nice To Haves

• Experience with AWS services and emulation environments, including LocalStack.
• Experience with secure on-premises deployments leveraging hypervisors, including 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 solutions that modernize client systems.
• Develop AI and machine learning solutions to help solve complex problems.
• 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