Stateside Spec Engineering jobs in the United States

GE Vernova

Sr. Staff Security Architect

Remote (US) · Remote (US) · Senior

Discipline
Software
Industry
Energy

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Sr. Staff Cyber Security Architect at GE Vernova is a remote U.S. role focusing on secure application and infrastructure architecture. Required: 8+ years IT/cybersecurity with 3+ years in security architecture, plus cloud security and AI security experience.

$127,600–$212,600 / year · Day shift · Bonus · 8+ years · Bachelor’s degree in Information Systems, Information Technology, Computer Science, Cybersecurity, Computer Engineering, or related field

Required

  • security architecture
  • AWS
  • Azure
  • security reviews
  • risk assessments
  • secure-by-design
  • AI security
  • threat modeling

Preferred

  • CISSP
  • CCSP
  • AWS Security
  • Azure Security certification
  • AI/generative AI security experience

Benefits

  • medical
  • dental
  • vision
  • 401(k) with company matching
  • paid holidays
  • parental leave
  • disability benefits

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Employer description

Job Description SummaryGE Vernova is seeking a Sr Staff Cyber Security Architect to ensure that our application and infrastructure architecture is secure.

In this role, you will conduct security architecture reviews for cloud and on-premise systems, helping ensure solutions are secure by design and aligned to GEV security requirements. The ideal candidate brings cybersecurity architecture experience, a strong commitment to service excellence, and a passion for protecting and shaping the future of energy.

Job DescriptionResponsibilities Include:

Security Architecture and GovernanceServe 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.Risk, Documentation, and Reusable GuidanceDraft 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.Technical Leadership and CollaborationResearch 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 working collaboratively as part of the broader security architecture team.Basic Qualifications:

Education: Bachelor’s degree in Information Systems, Information Technology, Computer Science, Cybersecurity, Computer Engineering, or a related field from an accredited college or university.Professional Experience: At least 8 years of experience in enterprise IT and/or cybersecurity.Cybersecurity Architecture: At least 3 years of experience in cybersecurity architecture.Desired Characteristics:

Cybersecurity Architecture and Technical ExpertiseExperience in cybersecurity architecture, including designing secure solutions in AWS, Azure & 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.Collaboration and InfluenceExperience partnering with solution architects to design secure systems.Strong communication and interpersonal skills, with the ability to work independently and as part of a team.Ability to influence, build consensus, and align stakeholders across Digital Technology teams and leadership.Problem Solving and AdaptabilityStrong analytical and problem-solving skills.Comfortable working in new areas that require 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.

Additional InformationGE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: No

#LI-Remote - This is a remote position

Application Deadline: November 13, 2026 

 

For candidates applying to a U.S. based position, the pay range for this position is between $127,600.00 and $212,600.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. 

 

Bonus eligibility: discretionary annual bonus. 

 

This posting is expected to remain open for at least seven days after it was posted on October 23, 2026. 

 

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

 

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual. 

 

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