Enterprise Cybersecurity AI Infrastructure Engineer

Booz Allen Hamilton is hiring an Enterprise Cybersecurity AI Infrastructure Engineer to build, scale, and operationalize an enterprise Cyber Operations AI infrastructure platform that supports training, evaluation, hosting, and serving of AI capabilities.

• Serve as a hands-on technical contributor for building, scaling, and operationalizing Booz Allen’s Cyber Operations AI infrastructure platform, covering training, evaluation, hosting, and serving of AI capabilities.
• Lead key platform components, including Databricks for data and model delivery and Git Hub with AWS to enable the deployment pathway for internal AI products into production.
• Streamline collaboration between development and operations to help systems and workflows move efficiently.
• Partner with AI/ML engineers
  , data scientists
  , and security operators to convert security telemetry, threat intelligence, and analyst workflows into dependable, scalable pipelines and services.
• Build and run CI/CD and Dev Sec Ops for these products, including Git Hub Actions
  , infrastructure as code, identity and secrets management, and least-privilege access using Unity Catalog
  .
• Conduct design and code reviews, provide technical direction for platform work, and turn researcher and analyst needs into reusable infrastructure.
• Assess platform issues, coordinate technical and non-technical stakeholders, and drive decisions to closure to support Booz Allen cyber operations and mission platforms.
• Work with AI/ML engineers, data scientists, and SOC operators to deliver shared platform capabilities, including retrieval, scoring, and agent workflow design.
• Build, operate, and optimize the platform behind internal AI products, including platforms based on Databricks and AWS
  .
• Implement and scale data pipelines to ingest security telemetry and threat intelligence (logs, endpoint, identity, cloud, and threat-intel sources) into governed schemas for analysts and models.
• Create model evaluation, validation, and serving paths, including experiment tracking, regression checks, and safe rollout and rollback to meet quality expectations for operational use.
• Build and maintain Git Hub Actions CI/CD for AI products, including self-hosted runners,
  AWS OIDC into IAM
  , Secrets Manager
  , pull-request environments, and production promotion.
• Implement Dev Sec Ops  controls such as dependency and secret scanning, infrastructure policy, service-principal isolation, and Unity Catalog grants to prevent non-production identities from accessing production data.
• Own infrastructure as code for catalogs, permissions, and deployments using Terraform or Terragrunt and Databricks Asset Bundles to keep environments repeatable.
• Use coding assistants to accelerate delivery and review generated infrastructure, pipeline, and application changes before merging.

• 2+ years of experience with 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 such as AWS and Databricks
  , and building CI/CD in Git Hub Actions with AWS integration, including IAM
  , OIDC federation
  , and Secrets Manager
  .
• Experience with Python and SQL
  , and working with infrastructure as code including Terraform or Terragrunt while 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.
• Experience…