Principal Cybersecurity Architect – Identity & Access Management for AI Systems

GE Vernova

Principal Cybersecurity Architect leading IAM for AI systems at GE Vernova. Defining strategies and standards for cybersecurity in AI applications.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesLead💰 $165,800 - $276,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in AI identity security, IAM architecture, and cloud environments, with a strong focus on regulatory compliance and governance. Proven ability to communicate complex technical concepts to executive leadership and drive strategic initiatives across cybersecurity and business units.

Highest-signal resume keywords

AI Identity SecurityIAM ArchitectureAWS IAM ExpertiseZero Trust ArchitectureSenior Leadership Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Identity Access ManagementCryptographic Identity AssignmentPrinciple of Least PrivilegeJust-in-Time AccessJust-Enough-Access PatternsAI Security FrameworksCloud SecurityRegulatory ComplianceRisk ManagementLifecycle Management

Soft Skills

Exceptional CommunicationStakeholder EngagementStrategic ThinkingLeadershipCollaboration

Tools & Technologies

AWS Identity CenterAWS Bedrock IdentityAgentCoreCloud PlatformsCybersecurity Tools

Industry Keywords

CybersecurityGovernance Risk ComplianceCloud-Native EnvironmentsAI WorkloadsExecutive Leadership

Tech Stack

Tools & technologies

AWSCloudCyber Security

About the role

Key responsibilities & impact

Act as the primary authority on AI identity security, providing guidance to executive leadership and engineering teams.
Drive strategy across cybersecurity, cloud platforms, GRC, legal, and business units.
Represent the organization in external forums, industry working groups, and vendor discussions regarding AI security standards.
Define the long-term IAM architecture for AI systems and agents in cloud and hybrid environments, establishing reusable patterns and reference designs.
Oversee the full lifecycle for AI agents, from initial onboarding and cryptographic identity assignment to decommissioning.
Maintain an unbroken chain of human ownership and traceability for all autonomous agents.
Architect and enforce the Principle of Least Privilege (PoLP), Just-in Time (JIT), and Just-Enough-Access (JEA) patterns for AI workloads.
Partner with GRC and privacy teams to ensure AI agent governance meets rigorous regulatory requirements.

Requirements

What you’ll need

Experience: 12+ years in cybersecurity, with a heavy emphasis on IAM.
Senior Leadership: 7+ years in Principal/Senior Architect roles for large-scale enterprise or cloud-native environments.
Cloud Expertise: Expert-level knowledge of AWS IAM (roles, policies, SCPs, federation) and AWS Identity Center.
AI Security: Proficiency with AWS Bedrock Identity/AgentCore and similar frameworks.
Conceptual Depth: Expert understanding of Zero Trust architecture and its application to AI/agentic workloads.
Communication: Exceptional ability to distill complex technical risks for executive stakeholders.

Benefits

Comp & perks

medical, dental, vision, and prescription drug coverage
access to Health Coach from GE Vernova, a 24/7 nurse-based resource
access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
access to Fidelity resources and financial planning consultants
tuition assistance
adoption assistance
paid parental leave
disability benefits
life insurance
12 paid holidays
permissive time off