Senior Cybersecurity AI Platform Engineer

Booz Allen Hamilton; McLean (VA); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking an Enterprise Cybersecurity AI Infrastructure Engineer to build, scale, and operationalize an AI infrastructure platform for cyber operations. You will integrate Databricks and AWS, implement CI/CD with GitHub Actions, and enforce DevSecOps across pipelines and deployments.

As a hands-on contributor, you will guide platform direction, collaborate with AI/ML engineers, data scientists, and security operators, and ensure scalable, secure workflows from data ingestion

Qualifications

• 5+ years of experience in software engineering, building and operating production-scale ML infrastructure.

Responsibilities

• Partner with AI/ML engineers, data scientists, and SOC operators to turn modeling and analyst requirements into platform capabilities.
• Build, operate, and optimize the platform behind internal AI products, incl. Databricks and AWS.
• Implement and scale data pipelines to land security telemetry and threat intel into governed schemas analysts and models can use.
• Build model evaluation, validation, and serving paths with experiment tracking and safe rollout.
• Maintain GitHub Actions CI/CD for AI products including self-hosted runners and AWS IAM integration.
• Implement DevSecOps controls: secret scanning, infrastructure policy, and Unity Catalog grants.
• Own IaC for catalogs and deployment (Terraform/Terragrunt, Databricks Asset Bundles).
• Review infrastructure, pipeline, and app changes before merge.

Skills

Software engineering

Agent AI training

Python

SQL

CI/CD pipelines

DevSecOps

Security telemetry

Secret clearance

Education

HS diploma or GED

Tools

Terraform/Terragrunt

Databricks

GitHub Actions

AWS

IAM/OIDC

Secrets Manager

Unity Catalog

Job description

Booz Allen Hamilton is seeking an Enterprise Cybersecurity AI Infrastructure Engineer to build, scale, and operationalize an AI infrastructure platform for cyber operations. You will integrate Databricks and AWS, implement CI/CD with GitHub Actions, and enforce DevSecOps across pipelines and deployments.

As a hands-on contributor, you will guide platform direction, collaborate with AI/ML engineers, data scientists, and security operators, and ensure scalable, secure workflows from data ingestion