Cybersecurity AI/ML Engineer

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$77,600–$176,000 / yr
Posted
3 days ago
Closes
Sep 1, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k
This role $127k
$58k most similar roles pay here $257k

This role pays less than 93% of similar roles. Most pay $152,200–$237,350 — the shaded band above. At the midpoint, this role pays about $127k versus about $195k for comparable roles.

Based on 239 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 375 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 368 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · Cybersecurity AI/ML Engineer

As a Cybersecurity AI/ML Engineer at Booz Allen Hamilton, you will join the Enterprise Cybersecurity team to build and scale AI/ML systems that enhance prevention, detection, response, and recovery outcomes for critical infrastructure. Your daily tasks include designing and deploying production-grade ML services, engineering scalable data pipelines over security telemetry, and integrating ML capabilities into SOC platforms like SIEM and SOAR. You will leverage Python, PyTorch, TensorFlow, Hugging Face, and Kubernetes to operationalize these systems while adhering to secure-AI practices and responsible AI controls. With a focus on real-time detection inference and LLM-assisted analyst tooling, you will collaborate across data science, platform, and SOC operations teams to deliver measurable improvements in cybersecurity outcomes.

What you'll do

  • Design and deploy production AI/ML services for cybersecurity use cases.
  • Engineer scalable data and feature pipelines over security telemetry for detection, triage, and hunting.
  • Build and operate ML platforms ensuring low-latency real-time scoring and batch inference.
  • Apply secure-AI practices throughout the lifecycle of AI/ML systems in cybersecurity.
  • Integrate ML services into security tools like SIEM, SOAR, EDR via APIs and event-driven architectures.
  • Develop automation and infrastructure-as-code for repeatable ML pipelines and model deployments.

What we're looking for

  • 5+ years of experience in machine learning engineering or applied AI platform development.
  • 3+ years of hands-on experience building and operating production ML systems in cybersecurity.
  • Expertise in Python for ML, including design patterns, testing, packaging, version control, and container orchestration.
  • Proficiency with modern AI/ML stack tools such as PyTorch, TensorFlow, Hugging Face, and model serving frameworks.
  • Knowledge of secure AI implementation practices and governance controls aligned to NIST AI RMF and OWASP LLM Top 10.
  • Experience operationalizing AI/ML systems using MLOps tools like MLflow, Weights & Biases, and Kubeflow.

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