Operational Technology AI Engineer

Booz Allen Hamilton

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Quick summary

Work type
On-site
Location
Chantilly, VA
Employment
Full-time
Posted
61 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $181k
$121k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $145,525–$216,262.

Based on 240 similar postings.

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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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Operational Technology AI Engineer

JOB TITLE: Operational Technology AI Engineer The Operational Technology AI Engineer joins a mission-focused team to design, develop, and prototype artificial intelligence and machine learning capabilities for Operational Technology, Industrial Control Systems, and cyber-physical environments. You will analyze network telemetry, asset inventories, logs, and sensor data to identify opportunities for AI-enabled automation and analytics. Responsibilities include developing and evaluating ML models, AI agents, and retrieval augmented generation capabilities to improve threat detection, vulnerability analysis, and incident response. You will utilize Python, React, and Typescript to build tools for on-premises, air-gapped, and bandwidth-limited environments. The role requires expertise in cybersecurity concepts, large language models, and generative AI technologies to solve complex problems regarding OT asset visibility and operator decision-making within industrial environments.

What you'll do

  • Design, develop, and prototype AI and ML capabilities for Operational Technology (OT) and Industrial Control Systems (ICS).
  • Analyze OT data sources including network telemetry, asset inventories, logs, and sensor data to identify automation opportunities.
  • Develop and evaluate ML models, AI agents, and retrieval augmented generation (RAG) capabilities for cyber-physical environments.
  • Build AI-enabled tools to improve asset visibility, threat detection, vulnerability analysis, and incident response.
  • Evaluate emerging AI technologies for secure application in air-gapped, disconnected, and bandwidth-limited environments.
  • Move AI concepts from research and prototypes into deployable operational capabilities.
  • Implement AI-enabled cybersecurity features such as anomaly detection and automated threat hunting.

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, React, or Typescript.
  • Experience with ML, Large Language Models, AI agents, or generative AI technologies.
  • Knowledge of cybersecurity concepts, network security, and threat detection.
  • Ability to obtain a Secret clearance.
  • Experience with OT, ICS, SCADA, cyber-physical systems, or embedded systems (preferred).
  • Experience with RAG, agentic AI, vector databases, knowledge graphs, or AI orchestration frameworks (preferred).
  • Bachelor's degree.

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