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Senior Staff Security Architect
GE Vernova. Serve as a security architect for AWS and Azure application and infrastructure deployments .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in security architecture for AWS, Azure, and GCP, with a focus on designing secure solutions for AI applications and conducting comprehensive risk assessments. Proven ability to develop security documentation and reusable patterns while influencing cross-functional teams and stakeholders.
Highest-signal resume keywords
Security Architecture for AWS and AzureCybersecurity Architecture ExperienceAI Security Risks and Controls KnowledgeIndustry-Recognized Security CertificationThreat Modeling and Risk Assessment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cybersecurity ArchitectureSecure Solutions DesignThreat ModelingRisk AssessmentAI Application SecurityGenerative AI SecurityMulti-Tier Web ApplicationsSecurity Standards ComplianceSecure-By-Design PrinciplesDocumentation Development
Soft Skills
Strong Communication SkillsInterpersonal SkillsAnalytical SkillsProblem-Solving SkillsAbility to Influence and Build Consensus
Tools & Technologies
AWSAzureGCPAI ApplicationsGenerative AI SolutionsAPIsAgentic Systems
Certifications & Qualifications
CISSPCCSPAWS Security CertificationAzure Security Certification
Industry Keywords
CybersecurityEnterprise ITInformation SystemsInformation TechnologyComputer ScienceComputer EngineeringRisk ManagementSecurity Best PracticesEmerging TechnologiesDigital Technology
Tech Stack
Tools & technologiesAWSAzureCloudCyber 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
- 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
- Must be legally authorized to work in the United States
Benefits
Comp & perks- Discretionary annual bonus
- Medical, dental, vision, and 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
- Professional development opportunities
- Relocation assistance not provided