below marketmost similar roles pay hereabove market
This role pays less than
88%
of similar roles. Most pay
$146,837–$222,000
— the blue band above.
At the midpoint, this role pays about
$127k
versus about
$184k
for comparable roles.
Based on 240 similar postings.
Employer
About Booz Allen Hamilton
Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting
Booz Allen Hamilton currently has
1724 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 898 roles with salary data.
The Forward Deployed Engineer joins a team developing commercial-grade AI platforms for defensive cyber operations, intelligence, and agentic AI. This role involves deploying and configuring enterprise defenses against AI attackers, providing precise alerts for agentic threats, and ensuring the denial of AI capabilities. Day-to-day responsibilities include working directly with customers to understand technical environments, implementing containerized components and playbooks, integrating with existing security tools, and troubleshooting deployments to validate system performance. The position requires expertise in DevOps infrastructure across AWS, Azure, or GCP, using container technologies like Docker and Kubernetes, and Infrastructure-as-Code. Candidates must utilize automation platforms such as GitLab, GitHub, Jenkins, ArgoCD, or Flux. Technical skills include Python, Bash scripting, and network troubleshooting across UNIX or Linux environments to solve complex cyber defense problems.
What does a Forward Deployed Engineer earn?
Median $208800 from 49 postings across 22 companies.
Deploy and configure enterprise defenses against AI attackers and agentic threats.
Implement containerized components and playbooks within customer technical environments.
Integrate AI solutions and security tools into production settings.
Troubleshoot deployments and validate system performance across cloud and on-premises environments.
Translate customer feedback into product and operational improvements.
Architect and integrate commercial products into diverse customer environments.
Design, implement, and maintain CI/CD workflows and DevOps automation platforms.
Support presales and customer success initiatives for AI platforms.
What we're looking for
4+ years of experience designing, deploying, and troubleshooting DevOps infrastructure across cloud service providers or on-premises environments.
4+ years of experience with container technologies, virtual machines, and Infrastructure-as-Code (IaC) environments.
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 with network and system troubleshooting across UNIX or Linux environments.
Experience in front-facing or forward-deployed engineering roles.
Knowledge of Python, SDLC, Bash scripting, and basic cybersecurity concepts.
Bachelor’s degree in a CS or Engineering field and 2+ years of software engineering experience, or 6+ years of software engineering experience in lieu of a degree.
Kubernetes
Terraform
Python
AWS
GitLab CI
Ansible
CloudFormation
Docker
Azure
GCP
CI/CD
DevSecOps
Bash
PowerShell
Jenkins
GitHub
Terragrunt
Linux
Windows Server
Zero Trust
Generative AI