Sr. Staff Security Architect

GE Vernova
•$127,600 - $212,600•Remote

About The Position

GE Vernova is seeking a Sr. Staff Cyber Security Architect to help ensure its application and infrastructure architecture is secure. The role conducts security architecture reviews for cloud and on-premise systems and helps ensure solutions are secure by design and aligned with GE Vernova security requirements. The successful candidate brings cybersecurity architecture experience, a commitment to service excellence, and an interest in protecting and shaping the future of energy. The position serves as a security architect for AWS and Azure application and infrastructure deployments; performs architecture reviews and risk assessments; drafts secure target architectures; and defines secure-by-design architectures for AI applications and agents. It also develops risk reports, reusable solution patterns, security documentation, and AI security guidance. The role researches emerging technologies and provides technical leadership while building relationships across teams and the business. This is a remote position. GE Vernova offers competitive compensation, professional development, and benefits. U.S.-based candidates must be legally authorized to work in the United States. Any offer is conditioned on successful completion of a drug screen, as applicable.

Requirements

  • Bachelor’s degree in Information Systems, Information Technology, Computer Science, Cybersecurity, Computer Engineering, or a related field from an accredited college or university.
  • At least 8 years of experience in enterprise IT and/or cybersecurity.
  • At least 3 years of experience in cybersecurity architecture.
  • Strong communication and interpersonal skills, with the ability to work independently and as part of a team.
  • Strong analytical and problem-solving skills.
  • Ability to influence, build consensus, and align stakeholders across Digital Technology teams and leadership.
  • Comfort working in new areas requiring rapid learning, sound judgment, and continuous improvement.
  • Ability to synthesize input from multiple stakeholders and translate complex business and technical requirements into practical security guidance.
  • Legally authorized to work in the United States for this opening.

Nice To Haves

  • Experience designing secure solutions in AWS, Azure, and GCP.
  • Experience with threat modeling, multi-tier web applications, and relevant security standards.
  • Experience assessing and securing AI and generative AI applications, including large language model integrations, retrieval-augmented generation, APIs, and agentic systems.
  • Knowledge of AI security risks and controls, including prompt injection, sensitive data exposure, insecure tool use, excessive agency, model and dependency risks, and AI agent identity and access governance.
  • Industry-recognized security certification, such as CISSP, CCSP, AWS Security, or Azure Security certification.
  • Experience partnering with solution architects to design secure systems.

Responsibilities

  • Serve as a security architect for AWS and Azure application and infrastructure deployments.
  • Conduct security architecture reviews and risk assessments within the enterprise architecture domain governance model.
  • Draft target system architectures that follow secure-by-design principles and security best practices.
  • Define secure-by-design architectures for AI applications and AI agents, including identity, data access, model and tool integration, runtime controls, and human oversight.
  • Conduct security reviews for generative AI solutions, agentic workflows, and supporting platforms across cloud and on-premise environments.
  • Draft and publish risk assessment reports that clearly outline cyber risks and mitigating controls.
  • Publish reusable solution patterns to improve clarity, consistency, and alignment across designs.
  • Develop security-related documentation, including policies, standards, and leading practices.
  • Develop reusable security patterns and risk guidance for AI applications and agents, including prompt and data protection, model supply chain, agent identity and permissions, monitoring, and lifecycle governance.
  • Research emerging technologies, industry developments, and market trends to support enterprise project delivery and operations.
  • Serve as a technical leader within the function by staying current on industry technology and security trends.
  • Build peer, cross-functional, and cross-business relationships to share best practices and improve team effectiveness.
  • Influence across the function and business while collaborating as part of the broader security architecture team.

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Prescription drug coverage
  • Health Coach from GE Vernova, a 24/7 nurse-based resource
  • Employee Assistance Program with 24/7 confidential assessment, counseling, and referral services
  • GE Vernova Retirement Savings Plan, including a 401(k) savings opportunity with company matching and company retirement contributions
  • Fidelity resources and financial planning consultants
  • Tuition assistance
  • Adoption assistance
  • Paid parental leave
  • Disability benefits
  • Life insurance
  • 12 paid holidays
  • Permissive time off
  • Discretionary annual bonus eligibility
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