Senior OT AI Cybersecurity Architect

Houston, TX, US • Posted 2 hours ago • Updated 2 hours ago
Contract W2
On-site
DOE
Fitment

Dice Job Match Score™

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Job Details

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
  • ICS
  • Network
  • Machine Learning (ML)
  • Risk Management
  • NIST SP 800 Series
  • Risk Management Framework
  • RMF
  • Management
  • System Security
  • Microsoft Certified Professional
  • Computer Vision
  • Cyber Security
  • Threat Modeling
  • Security Analysis
  • IT Risk Management
  • IT Risk
  • Incident Management
  • Technical Writing
  • Artificial Intelligence

Summary

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
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: compun
  • Position Id: TIWDC6115998
  • Posted 2 hours ago
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