below marketmost similar roles pay hereabove market
This role pays less than
91%
of similar roles. Most pay
$148,875–$235,187
— the blue band above.
At the midpoint, this role pays about
$127k
versus about
$192k
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
1660 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 908 roles with salary data.
The Enterprise Cybersecurity AI Infrastructure Engineer joins the Cyber Operations AI infrastructure team to build, scale, and operationalize platforms for training, evaluating, hosting, and serving AI capabilities. You will lead key components of the platform using Databricks for data and model delivery, while managing the deployment pathway through GitHub and AWS. Daily responsibilities include streamlining collaboration between development and operations, building CI/CD and DevSecOps pipelines, and transforming security telemetry and threat intelligence into scalable services. You will utilize Python, SQL, Terraform, Terragrunt, and GitHub Actions to manage infrastructure as code, identity, and secrets. This role solves complex technical problems by turning researcher needs into reusable infrastructure, ensuring reliable model evaluation, and implementing governed schemas for sensitive datasets within a cybersecurity operations context.
Build, scale, and operationalize the Cyber Operations AI infrastructure platform using Databricks and AWS.
Implement and scale data pipelines to ingest security telemetry and threat intelligence into governed schemas.
Build model evaluation, validation, and serving paths including experiment tracking and safe rollout procedures.
Develop and maintain CI/CD pipelines using GitHub Actions, including self-hosted runners and AWS OIDC integration.
Implement DevSecOps controls such as dependency scanning, secret management, and least-privilege access in Unity Catalog.
Manage infrastructure as code for catalogs and permissions using Terraform, Terragrunt, or Databricks Asset Bundles.
Translate researcher and analyst requirements into reusable infrastructure and shared platform capabilities.
Perform design and code reviews to set technical direction for platform development and deployment.
What we're looking for
High school diploma or GED.
Ability to obtain a Secret clearance.
5+ years of experience in software engineering including building and operating production-scale machine learning infrastructure, data platforms, or distributed systems.
2+ years of experience creating and training agents and models for agentic AI, including tool calling, evaluation, and deployment into production workflows.
Experience with cloud platforms like AWS and Databricks and building CI/CD in GitHub Actions with AWS integration, including IAM, OIDC federation, and Secrets Manager.
Experience in Python and SQL, and working with infrastructure as code such as Terraform or Terragrunt while also utilizing coding agents.
Experience building and maintaining data pipelines over large or sensitive datasets, including schema management and reproducible deployments.
Experience owning platform work end to end, from technical design through production deployment and operational monitoring.