Forward Deployed Engineer

Booz Allen Hamilton•Arlington, VA

About The Position

Booz Allen’s team develops and delivers commercial-grade AI platforms and applications for critical missions across the Department of Defense, Intelligence Community, civilian agencies, and commercial organizations. Working at the intersection of cyber and AI, the team builds solutions for defensive cyber operations, counter-AI, intelligence, agentic AI, and cyber defense. The work may include shaping strategy, architecting solutions, integrating Booz Allen and commercial products into customer environments, supporting presales and customer success, and leading forward-deployed engineering activities that integrate AI solutions into production settings. Team members may partner with industry leaders through strategic collaborations and go-to-market initiatives, and establish reusable approaches for government customers to adopt secure, scalable AI capabilities as shared services. The Forward Deployed Engineer deploys and configures an enterprise defense against AI attackers, providing precise alerts of agentic threats and extreme denial of AI capabilities. The role works directly with customers to understand technical environments, implement containerized components and playbooks, and integrate with existing security tools. The engineer troubleshoots deployments, validates system performance, and translates customer feedback into product and operational improvements.

Requirements

At least 4 years of experience designing, deploying, and troubleshooting DevOps infrastructure across cloud service providers such as AWS, Azure, GCP, or on-premises environments.
At least 4 years of experience with container technologies such as Docker, container orchestration, virtual machines, and Infrastructure-as-Code (IaC) environments.
At least 3 years of experience with DevOps and automation platforms such as GitLab, GitHub, Jenkins, ArgoCD, or Flux.
Experience designing, implementing, and maintaining CI/CD workflows and DevOps automation platforms.
Experience troubleshooting networks and systems across UNIX or Linux environments.
Experience in front-facing or forward-deployed engineering roles.
Knowledge of Python, SDLC, Bash scripting, and basic cybersecurity concepts.
Ability to travel up to 20% of the time.
Ability to obtain a Secret clearance.
Bachelor’s degree in a computer science or engineering field and at least 2 years of software engineering experience, or at least 6 years of software engineering experience in lieu of a degree.

Nice To Haves

Experience developing enterprise cloud-native solutions involving Kubernetes, Docker, AWS, Jenkins, or Azure.
Experience creating and improving continuous automation across multiple technical stacks.
Experience creating and improving continuous deployment tools built on Kubernetes.
Experience triaging and resolving issues related to open-source and commercial tools in public cloud environments.
Knowledge of scripting languages such as Python and Linux Shell Script.
TS/SCI clearance.
Master’s degree.

Responsibilities

Deploy and configure an enterprise defense against AI attackers.
Work directly with customers to understand their technical environments.
Implement containerized components and playbooks.
Integrate solutions with existing security tools.
Troubleshoot deployments and validate system performance.
Translate customer feedback into product and operational improvements.
Design, deploy, and troubleshoot DevOps infrastructure and automation.
Design, implement, and maintain CI/CD workflows and DevOps automation platforms.
Shape strategy, architect solutions, integrate products into customer environments, and support presales and customer success as needed.
Travel up to 20% of the time.