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# Staff Cyber Security Architect

- **Company:** GE Vernova
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $111,900.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing Security, Cloud Engineering, Cyber Security, Information Systems, Computer Engineering, Data Security, Digital Technology, Identity and Access Management, Internet Security, Information Systems Security Architecture Professional, Systems Architecture, Systems Integration, Web Applications, Retrieval-Augmented Generation, Generative AI, Agentic-AI, Information Technology, Virtual Agents
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-cyber-security-architect-new-york-ny--dcb4278d-feeb-4a36-88a5-c00e92261be6

## About the Role

Security Architecture, Internet Security, Internet Security, Security Architecture, Cloud Architecture, Microsoft Windows Azure, Amazon Web Services (AWS), Enterprise Architecture, Risk Analysis, Architectural Design, * 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 4 years of experience in enterprise IT and/or cybersecurity.
 * Cybersecurity Architecture: At least 1 year of experience supporting cybersecurity architecture, secure solution design, or security assessments.

Desired Characteristics:

 * Cybersecurity Architecture and Technical Expertise
*

 * Experience supporting cybersecurity architecture or secure solution design in AWS, Azure, or GCP.
*

 * Experience with threat modeling, multi-tier web applications, and relevant security standards.
*

 * Familiarity with security considerations for AI and generative AI applications, including large language model integrations, retrieval-augmented generation, APIs, or agentic systems.
 * Awareness 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.
 * Relevant security certification or cloud security training, such as Security+, CCSP, AWS Security, or Azure Security, is a plus.
 * Collaboration and Influence
 * Experience 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 communicate recommendations, collaborate with stakeholders, and build alignment across Digital Technology teams.
 * Problem Solving and Adaptability
 * Strong analytical and problem-solving skills.
 * Comfortable working in new areas that require rapid learning, sound judgment, and continuous improvement.
*

 * Ability to gather input from stakeholders and translate business and technical requirements into practical security guidance with support from senior team members.

## Description

* Support security architecture activities for AWS and Azure application and infrastructure deployments.
 * Participate in security architecture reviews and risk assessments within the enterprise architecture domain governance model.
 * Contribute to system architecture designs that follow secure-by-design principles and security best practices.
 * Ensure 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 Guidance
 * Draft and publish risk assessment reports that clearly outline cyber risks and mitigating controls.
*

 * Develop and maintain reusable solution patterns that improve clarity, consistency, and alignment across designs.
 * Develop and maintain security-related documentation, including policies, standards, and leading practices.
 * Contribute to 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 Development and Collaboration
*

 * Research emerging technologies, industry developments, and market trends to support enterprise project delivery and operations.
 * Build technical knowledge within the function by staying current on industry technology and security trends.
 * Build peer and cross-functional relationships to share best practices and improve team effectiveness.
 * Work collaboratively with project teams and the broader security architecture team to provide practical security guidance.