
10,000+ employees
⚡ Energy
🚀 Aerospace
🤖 Artificial Intelligence
Energy • Aerospace • Artificial Intelligence
GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.
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10,000+ employees
⚡ Energy
🚀 Aerospace
🤖 Artificial Intelligence
Energy • Aerospace • Artificial Intelligence
GE Vernova is a leader in the energy sector with over 130 years of experience, dedicated to electrifying the world while decarbonizing it. The company offers a broad portfolio of energy solutions including gas, hydro, nuclear, and wind power technologies, aimed at providing reliable, affordable, and sustainable energy. With a strong focus on innovation, GE Vernova plays a significant role in reducing the carbon footprint of global power systems and supports the transition to net-zero emissions by 2030.
• 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
• 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 • Experience with Microsoft Azure IAM (Entra ID, Managed Identities, Azure AI) preferred • Familiarity with IGA technologies (e.g., Saviyant) and NHI (Non Human Identity) governance preferred • Knowledge of LLM-specific threats (OWASP LLM Top 10) and prompt injection mitigation preferred • Understanding of SPIFFE/SPIRE for workload identity preferred • AWS Certified Security – Specialty, CISSP, CISM, or CCSP preferred
• 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 • 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
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