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Rockwell Automation · 1 day ago

Lead AI Security Architect

Mayfield Heights, OH

Full-time

Hybrid

Lead/Staff

12+ years exp

Rockwell Automation is a global technology leader focused on enhancing productivity and sustainability for manufacturers. The Lead AI Security Architect is responsible for defining and implementing the security architecture strategy for AI and ML systems, ensuring compliance with cybersecurity frameworks and mitigating associated risks.

HardwareIndustrial AutomationSales AutomationSoftware

No H1B

Responsibilities

Develop the enterprise AI security architecture. Align it with our goals, AI governance frameworks (e.g., NIST AI RMF, ISO/IEC 42001), and cybersecurity standards (e.g., NIST CSF, ISO 27001, IEC 62443)

Define secure architectures for AI/ML model development, deployment, and integration with enterprise data and cloud platforms

Establish security reference architectures for GenAI, LLMOps, MLOps, and AI-driven automation

Conduct AI threat modeling, risk assessments, and red teaming for AI/ML systems

Find and address AI-specific risks such as model inversion, prompt injection, data poisoning, and adversarial attacks

Support compliance with the latest AI security and ethics regulations (e.g., EU AI Act, U.S. Executive Orders on AI, sector-specific standards)

Guide data scientists and developers on implementing secure model training, validation, and inference pipelines

Partner with enterprise architects to integrate AI trust controls (authenticity, traceability, explainability, and accountability) into platforms and services

Evaluate and deploy AI security tools for model protection, data governance, and AI behavior monitoring

Collaborate with product security, DevSecOps, and data engineering teams to embed AI security into the SDLC and CI/CD pipelines

Work with legal, risk, and compliance teams to establish AI acceptable use, data residency, and model governance policies

Lead security reviews and architecture boards for AI-enabled projects

Stay current on AI cybersecurity research, frameworks, and the latest AI threats

Develop best practices and strategies for responsible AI security and assurance

Mentor junior architects and engineers in AI and cybersecurity principles

Technical depth in both cybersecurity and AI domains

Ability to translate complex concepts to executives and technical teams both verbally and in writing

Expertise in emerging AI security trends and best practices

Collaborative and mentoring approach with cross-functional teams

Qualification

AI security architectureCybersecurity standardsAI threat modelingMLOpsData protectionCompliance frameworksAI/ML certificationsCollaborative approachMentoringTechnical communication

Required

Bachelor's Degree or equivalent years of relevant work experience

Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening

Ability to travel up to 10%

Preferred

Typically requires 12+ years of relevant experience in cybersecurity architecture

3+ years focused on AI/ML or data science security

Advanced degree in Computer Science, Engineering, Cybersecurity, or related field

Experience with AI/ML pipelines, MLOps, Model Context Protocol (MPC), Agentic Identity, and cloud-native architectures (AWS SageMaker, Azure ML, GCP Vertex AI)

Expertise in data protection, identity and access management, encryption, and secure software development

Knowledge of AI threat landscapes, adversarial machine learning, and model integrity protection

Experience with compliance frameworks such as NIST AI RMF, ISO/IEC 42001, and data privacy regulations (GDPR, CCPA)

Professional certifications such as CISSP, CISM, CCSP and enterprise architecture certifications

AI/ML certifications (e.g., TensorFlow, AWS ML Specialty, Microsoft Azure AI Engineer)

Hands-on experience with secure LLM deployments and GenAI security testing

Experience in OT or industrial AI environments (IEC 62443 knowledge)