Operational Technology AI Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chantilly, VA
Salary
$86,800–$198,000 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k
This role $142k
$70k most similar roles pay here $242k

This role pays less than 77% of similar roles. Most pay $142,792–$214,562 — the shaded band above. At the midpoint, this role pays about $142k versus about $179k 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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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At a glance

TL;DR · Operational Technology AI Engineer

As an Operational Technology AI Engineer, you will join a mission-focused team to design, develop, and prototype Artificial Intelligence and Machine Learning capabilities for Industrial Control Systems, cyber-physical environments, and Operational Technology. You will analyze diverse data sources including network telemetry, sensor data, and threat intelligence to build AI-enabled tools for asset visibility, anomaly detection, and incident response. The role involves developing machine learning models, AI agents, and retrieval-augmented generation capabilities tailored for unique safety and latency requirements in air-gapped or resource-constrained environments. You will utilize Python, Large Language Models, and generative AI technologies while integrating structured and unstructured data. Key technical competencies include knowledge of industrial protocols like Modbus and DNP3, as well as experience with vector databases, Kubernetes, Docker, and cybersecurity concepts to solve complex problems in critical infrastructure security.

What you'll do

  • Design, develop, and prototype AI and machine learning capabilities for Industrial Control Systems (ICS) and cyber-physical environments.
  • Analyze OT data sources including network telemetry, sensor data, and threat intelligence to identify automation opportunities.
  • Develop and evaluate machine learning models, AI agents, and retrieval-augmented generation (RAG) capabilities for industrial use.
  • Build tools to improve asset visibility, threat detection, vulnerability analysis, and incident response in operational environments.
  • Deploy AI technologies within specialized constraints such as air-gapped, disconnected, or bandwidth-limited networks.
  • Translate technical research and prototypes into deployable capabilities for mission stakeholders.
  • Evaluate emerging AI technologies to ensure they meet specific safety, availability, and latency requirements of OT systems.

What we're looking for

  • 3+ years of experience in AI and ML engineering, software engineering, data science, or cybersecurity engineering.
  • Experience developing applications using Python.
  • Experience with machine learning, Large Language Models, AI agents, or generative AI technologies.
  • Experience integrating and analyzing data from multiple structured and unstructured sources.
  • Knowledge of cybersecurity concepts, network security, and threat detection.
  • Ability to develop prototypes and translate technical concepts into operational capabilities.
  • Ability to obtain a Secret clearance.
  • Bachelor's degree in Computer Science, Engineering, Cybersecurity, Data Science, or Artificial Intelligence.

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