Senior Operational Technology (OT) AI Cybersecurity Architect

Project overview

Key Responsibilities

Define cybersecurity requirements and reference architecture patterns for AI workloads deployed within OT/ICS environments

Develop secure deployment patterns across edge, on-premises, PCN/DMZ, cloud-brokered, and disconnected environments

Define appropriate security zones and conduits, trust boundaries, network segmentation, and data flows for AI-enabled systems

Establish security requirements governing read-only versus write access, autonomous actions, and human-in-the-loop controls

Design architectures that support operational environments with limited or disconnected cloud connectivity

Develop security patterns for computer vision, machine learning, generative AI, AI agents, agentic AI, and AI-enabled industrial analytics and automation

Define OT security requirements for AI agents, service accounts, machine identities, and other non-human identities

Establish OT-specific attributes and requirements for inclusion in enterprise AI asset and application inventories

Define runtime security monitoring requirements for AI workloads

Establish requirements for model validation, model behavior monitoring, anomaly detection, and AI activity visibility

Integrate AI security monitoring with existing OT detection, incident response, and cyber monitoring capabilities

Conduct and support threat modeling for OT AI use cases and pilot initiatives

Participate in cybersecurity architecture reviews and cyber assurance gates

Evaluate AI implementations for risks involving unauthorized control or write access, model manipulation, data poisoning, prompt injection, excessive AI agent permissions, compromised non-human identities, industrial protocol manipulation, and model hallucination or incorrect interpretation of operational data

Develop an OT AI cyber assurance review checklist for consistent application across AI initiatives

Support the existing Policy 564 cyber assurance process

Develop and refine OT-specific AI cybersecurity guardrails in collaboration with OT cybersecurity, product, engineering, and enterprise AI teams

Align OT AI security controls with existing enterprise AI, AI Agent, and MCP security guardrails

Ensure security architecture aligns with relevant frameworks and guidance, including IEC 62443, NIST SP 800-82, NIST AI Risk Management Framework (AI RMF), and MITRE ATLAS

Evaluate how AI models and agents interact with industrial systems and operational data

Apply knowledge of industrial communication protocols, including Modbus, DNP3, and OPC UA, to identify potential security risks

Identify situations where AI models or agents could misinterpret, improperly modify, or manipulate industrial communications or operational commands

Ensure AI security controls address OT requirements related to availability, safety, integrity, deterministic operations, and production continuity

Assess emerging technologies designed to govern and secure AI workloads

Evaluate the applicability of AI Security Posture Management (AISPM) capabilities within OT/ICS environments

Research emerging AI security capabilities, attack techniques, monitoring solutions, and governance platforms

Develop a position paper outlining recommended approaches and technologies for securing AI within OT environments

Contribute to the organization's OT Security for AI strategy and 2027 roadmap

Represent OT cybersecurity in AI governance and security forums, including OT AI Steering Committee, SecureAI, and Responsible AI working sessions

Required Qualifications

7+ years of experience

Bachelors Degree

Skills

OT/ICS Security

OT/ICS Network Segmentation and Security Zones and Conduits

Industrial Cybersecurity Controls

Industrial Protocols (Modbus, DNP3, OPC UA)

AI/ML Security Risk Management

IEC 62443

NIST SP 800-82

NIST AI Risk Management Framework (AI RMF)

MITRE ATLAS

AI Security Posture Management (AISPM)

Agentic AI and Autonomous AI Systems Security

Model Context Protocol (MCP) Security

Edge AI and Computer Vision Security

Reference Architecture Development

Operational Technology (OT) and Industrial Control System (ICS) environments

Cybersecurity Architecture Review Experience

Threat Modeling

Security Assessment and Technical Risk Analysis

Critical Infrastructure Security Experience

Security Requirements Definition

Security Monitoring and Detection Engineering

Incident Response

Non-Human Identity Security

Technical Documentation

AI Governance

Schedule

Start date: 2026-12-14

Job Facts: Contract W2 | On-site | DOE

Skills: DMZ, Data Flow, Cloud Computing, Generative Artificial Intelligence (AI), Analytics, Use Cases, Collaboration, Product Engineering, Security Architecture, ATLAS, Communication, Modbus, OPC, Security Controls, Emerging Technologies, Research, Roadmaps, Network, Machine Learning (ML), Risk Management, NIST SP 800 Series, Risk Management Framework, RMF, Management, System Security, Microsoft Certified Professional, Computer Vision, ICS, Cyber Security, Threat Modeling, Security Analysis, IT Risk Management, IT Risk, Incident Management, Technical Writing, Artificial Intelligence

Reference: Dice Id: compun | Position Id: TIWDC6115998

Project details

• Start: flexible
• Remote: onsite
• Location: Houston, TX, US, US