AI Software Engineer, Senior

Job Description

Remote Work:

No

Job Number:

R0238008

Location:

Laurel,MD,US

AI Software Engineer, Senior

The Opportunity: As an AI sof t war e engineer, you know that good sof t war e is more than just a nice-looking interface + 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 sof t war e engineer like you to create artifi cia l intelligence and machine learning solutions that help solve national security'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. Additionally, you’ll deepen your skill set in areas like Kubernetes and MLOps.

Ready to transform national security systems for the better with AI technology?

Join us. The world can’t wait.

You Have:

• 4+ years of experience building production-grade applications using languages, including Python, Rus t, Go, Scala, or Java • 2+ years of experience building or maintaining production-grade RESTful APIs or sof t war e interfaces • 1+ years of experience designing, configuring, and implementing sof t war e 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 with a polygraph • Bachelor’s degree in a Computer Science field and 7+ years of experience with sof t war e engineering, or 11+ years of experience with sof t war e engineering in lieu of a degree

Nice If You Have:

• 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 • Security+, Linux+, or DevOps- related Certification