Operational Technology AI Engineer

About the role

As a cyber warfare engineer, you will leverage your expertise in AI and ML engineering, software engineering, data science, or cybersecurity engineering to design, develop, and prototype AI and ML capabilities specifically for Operational Technology (OT), Industrial Control Systems (ICS), and cyber-physical environments. Your work will focus on improving OT asset visibility, threat detection, vulnerability analysis, anomaly detection, incident response, and operator decision-making.

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 machine learning models, AI agents, retrieval-augmented generation capabilities, and other AI-enabled tools designed around the unique safety, availability, latency, and mission requirements of OT environments.
• Partner with OT engineers, cybersecurity specialists, data scientists, and mission stakeholders to move concepts from research and prototypes into deployable capabilities.
• Evaluate emerging AI technologies and determine how they can be securely applied within on-premises, air-gapped, disconnected, intermittent, and bandwidth-limited environments.

Requirements

• 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.
• 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.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Cybersecurity, Data Science, or Artificial Intelligence.

Skills

• Experience with Operational Technology, Industrial Control Systems, 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 Retrieval-Augmented Generation (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.

Benefits

At Booz Allen, we offer a comprehensive benefits package including health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.

Pay

The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD).

Schedule

This position is available as remote, hybrid, or onsite, depending on the specific role and location.