AI Software Engineer, Senior
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 involves developing and implementing end-to-end solutions that modernize client systems, accounting for the broader ecosystem, operating environment, and future functionality and enhancements. The engineer will also deepen skills in areas such as Kubernetes and MLOps. The position is located in Laurel, Maryland, with an additional location in Annapolis Junction, Maryland. Remote work is not available. Applicants must hold an active TS/SCI clearance with a polygraph and will be subject to a security investigation and eligibility requirements for access to classified information.
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 using Docker or Podman.
- Knowledge of federal cybersecurity best practices and standards, secure coding, and compliance requirements.
- TS/SCI clearance with a polygraph.
- 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 such as LocalStack.
- Experience with secure on-premises deployments leveraging hypervisors such as 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 end-to-end solutions that modernize client systems.
- Develop AI and machine learning solutions to help address national security challenges.
- Ensure solutions consider 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
