Principal Cybersecurity Architect – Identity & Access Management for AI Systems

Job Description: • serve as a technical leader on identity and access management (IAM) for AI systems, large language models (LLMs), and autonomous AI agents • act as the primary authority on AI identity security • drive strategy across cybersecurity, cloud platforms, GRC, legal, and business units • represent the organization in external forums regarding AI security standards • define the long-term IAM architecture for AI systems and agents • oversee the full lifecycle for AI agents • maintain an unbroken chain of human ownership and traceability for all autonomous agents • architect and enforce access control patterns for AI workloads • partner with GRC and privacy teams to ensure AI agent governance Requirements: • 12+ years in cybersecurity, with a heavy emphasis on IAM • 7+ years in Principal/Senior Architect roles for large-scale enterprise or cloud-native environments • expert-level knowledge of AWS IAM (roles, policies, SCPs, federation) and AWS Identity Center • proficiency with AWS Bedrock Identity/AgentCore and similar frameworks • expert understanding of Zero Trust architecture and its application to AI/agentic workloads • exceptional ability to distill complex technical risks for executive stakeholders Benefits: • 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 • 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