Operational Technology AI Engineer

Booz Allen Hamilton•Chantilly, VA

2d•$86,800 - $198,000

About The Position

Design, develop, and prototype artificial intelligence and machine learning capabilities for Operational Technology (OT), Industrial Control Systems (ICS), and cyber-physical environments. The role applies AI, cybersecurity, and operational systems expertise to improve OT asset visibility, threat detection, vulnerability analysis, anomaly detection, incident response, and operator decision-making. The engineer analyzes OT data sources—including network telemetry, asset inventories, logs, sensor and process data, threat intelligence, and security alerts—to identify opportunities for AI-enabled automation and analytics. Responsibilities include developing and evaluating machine learning models, AI agents, retrieval-augmented generation capabilities, and other tools tailored to OT safety, availability, latency, and mission requirements. The role partners with OT engineers, cybersecurity specialists, data scientists, and mission stakeholders to develop deployable capabilities from research and prototypes. It also involves evaluating emerging AI technologies for secure use in on-premises, air-gapped, disconnected, intermittent, and bandwidth-limited environments. Applicants selected will undergo a security investigation and may need to meet eligibility requirements for access to classified information.

Requirements

At least 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 develop prototypes and translate technical concepts into operational capabilities.
Ability to obtain a Secret clearance.
Bachelor's degree.

Nice To Haves

Experience with OT, ICS, SCADA, cyber-physical systems, or embedded systems.
Experience analyzing OT network traffic, industrial protocols, telemetry, sensor data, or process data.
Experience developing AI-enabled cybersecurity capabilities such as anomaly detection, threat hunting, vulnerability prioritization, or automated response.
Experience with RAG, agentic AI, vector databases, knowledge graphs, or AI orchestration frameworks.
Experience deploying AI capabilities to edge, on-premises, air-gapped, or resource-constrained environments.
Experience with cloud and container technologies, including Kubernetes and Docker.
Knowledge of Purdue Model architectures and industrial protocols such as Modbus, DNP3, OPC UA, BACnet, or EtherNet/IP.
Knowledge of AI security, model security, and secure AI development.
Top Secret clearance.

Responsibilities

Analyze OT data sources, including network telemetry, asset inventories, logs, sensor data, process data, threat intelligence, and security alerts, to identify opportunities for AI-enabled automation and analytics.
Develop and evaluate ML models, AI agents, RAG capabilities, and other AI-enabled tools for OT environments.
Design capabilities that address OT safety, availability, latency, and mission requirements.
Partner with OT engineers, cybersecurity specialists, data scientists, and mission stakeholders to move research and prototypes toward deployable capabilities.
Evaluate emerging AI technologies and determine how to apply them securely in on-premises, air-gapped, disconnected, intermittent, and bandwidth-limited environments.