Operational Technology AI Engineer
At a glance
Mid-level AI Engineering role at Bah. Chantilly · full-time · $86,800–$198,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Design and prototype AI and machine-learning capabilities for OT, industrial control systems and cyber-physical environments
- Examine OT telemetry, asset inventories, logs and sensor or process data to identify uses for analytics and automation
- Build and test models, AI agents and RAG tools shaped around OT safety, availability and mission needs
- Move research and prototypes toward deployable tools with OT, cybersecurity, data science and mission partners
- Check whether emerging AI can operate securely in disconnected, air-gapped or bandwidth-constrained settings
What you bring
- At least three years in AI or ML engineering, software engineering, data science or another listed discipline
- Application development experience with Python, React or TypeScript
- Experience with machine learning, large language models, AI agents or generative AI
- Knowledge of cybersecurity, network security and threat detection
- A bachelor's degree and eligibility to obtain a Secret clearance
Who this fits
This role suits a mid-level engineer who can turn AI and cybersecurity concepts into operational capabilities. The position is based in Chantilly, and selected applicants must complete a security review and could need eligibility for classified access.
From the employer
The Opportunity:
As a cyber warfare engineer, you know how critical it is to stay ahead of evolving threats by identifying and exploiting vulnerabilities before adversaries can. At Booz Allen, you'll bring that expertise to a mission-focused team where you'll design, develop, and prototype artificial intelligence (AI) and machine learning (ML) capabilities specifically for Operational Technology (OT), Industrial Control Systems (ICS), and cyber-physical environments. You’ll work at the intersection of AI, cybersecurity, and operational systems to develop new capabilities that improve OT asset visibility, threat detection, vulnerability analysis, anomaly detection, incident response, and operator decision-making.
On our team, you’ll 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. You’ll develop and evaluate ML models, AI agents, retrieval augmented generation (RAG) capabilities, and other AI-enabled tools designed around the unique safety, availability, latency, and mission requirements of OT environments.
You’ll partner with OT engineers, cybersecurity specialists, data scientists, and mission stakeholders to move concepts from research and prototypes into deployable capabilities. You’ll also evaluate emerging AI technologies and determine how they can be securely applied within on-premises, air-gapped, disconnected, intermittent, and bandwidth-limited environments.
This is your opportunity to help advance national security through cutting-edge cyber capabilities.
Join us. The world can't wait.
You Have:
- 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 If You Have:
- 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
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
- Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.