Enterprise Cybersecurity AI Infrastructure Engineer
Booz Allen Hamilton1 day ago
Base Salary
$78k - $176k/yr
Responsibilities
- Build, operate, and optimize AI infrastructure platforms based on Databricks and AWS.
- Develop data pipelines for security telemetry and threat intelligence from logs, endpoint, identity, cloud, and threat-intelligence sources.
- Build model evaluation, validation, serving, experiment-tracking, regression-checking, and rollout or rollback paths.
- Maintain GitHub Actions CI/CD, self-hosted runners, AWS OIDC integration, Secrets Manager workflows, pull-request environments, and production promotion.
- Implement DevSecOps controls including dependency and secret scanning, infrastructure policy, identity isolation, and least-privilege Unity Catalog access.
- Own infrastructure as code for catalogs, permissions, and deployments using Terraform or Terragrunt and Databricks Asset Bundles.
- Partner with AI/ML engineers, data scientists, and SOC operators to develop shared platform capabilities for retrieval, scoring, and agent workflows.
- Conduct design and code reviews, set technical direction, and drive platform decisions through production deployment and monitoring.
Requirements
- At least 5 years of software engineering experience, including production-scale machine learning infrastructure, data platforms, or distributed systems.
- At least 2 years of experience creating and training agents and models for agentic AI, including tool calling, evaluation, and production deployment.
- Experience with AWS, Databricks, GitHub Actions, IAM, OIDC federation, and Secrets Manager.
- Experience with Python, SQL, Terraform or Terragrunt, coding agents, large or sensitive datasets, schema management, and reproducible deployments.
- Experience owning platform work end to end and applying DevSecOps practices such as least-privilege access, secret handling, and automated security checks.
- Knowledge of cybersecurity operations or security telemetry.
- Ability to obtain a Secret clearance.
- High school diploma or GED required.
- Preferred experience includes Docker, Kubernetes, Spark, Ray, PyTorch Distributed, MLflow, model registries, retrieval and agent infrastructure, AWS storage and networking, FedRAMP, IL4, IL5, NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS, SIEM, SOAR, threat-intelligence platforms, and certifications such as AWS, Databricks, CKA, CKAD, CISSP, or AI security certification.
Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care support.
- Recognition awards for exceptional performance and demonstration of company values.
- Regular full-time and part-time employees working at least 20 hours per week are eligible for benefits, with select offerings for those below the threshold.
- The posting will close within 90 days of the posting date.
Tech Stack
Categories
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).