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GE Vernova

Senior Staff Security Architect

GE Vernova

. Serve as a security architect for AWS and Azure application and infrastructure deployments .

Posted 10/23/2026full-timeRemote • United StatesSenior💰 $127,600 - $212,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in security architecture for AWS, Azure, and AI applications, focusing on secure-by-design principles and risk assessment methodologies. Proven ability to develop security documentation, reusable patterns, and collaborate effectively across teams to enhance security practices.

Highest-signal resume keywords
Security Architecture for AWS and AzureCybersecurity Architecture ExperienceThreat Modeling and Risk AssessmentAI Security Risks and Controls KnowledgeIndustry-Recognized Security Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Security ArchitectureRisk AssessmentThreat ModelingSecure Solutions DesignAI Application SecurityGenerative AI SecurityMulti-Tier Web ApplicationsSecurity Standards ComplianceDocumentation DevelopmentReusable Security Patterns
Soft Skills
Strong Communication SkillsInterpersonal SkillsAnalytical SkillsProblem-Solving SkillsConsensus Building
Tools & Technologies
AWSAzureGCPAI AgentsAPIs
Certifications & Qualifications
CISSPCCSPAWS Security CertificationAzure Security Certification
Industry Keywords
CybersecurityEnterprise ITSecure-By-Design PrinciplesAI SecurityData Access Governance

Tech Stack

Tools & technologies
AWSAzureCloudCyber SecurityGoogle Cloud Platform

About the role

Key responsibilities & impact
  • 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 following 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 outlining 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

Requirements

What you’ll need
  • 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
  • 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
  • Strong communication and interpersonal skills
  • Ability to work independently and as part of a team
  • Ability to influence, build consensus, and align stakeholders across Digital Technology teams and leadership
  • Strong analytical and problem-solving skills
  • 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
  • Successful completion of a drug screen, as applicable

Benefits

Comp & perks
  • Competitive compensation
  • Discretionary annual bonus
  • 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
  • Tax-advantaged 401(k) savings opportunity with company matching contributions
  • 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
  • Remote position
  • Relocation assistance not provided