Cyber Security Architect

• Education: Bachelor’s degree in Information Systems, Information Technology, Computer Science, Cybersecurity, Computer Engineering, or a related field from an accredited college or university.\n

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• Professional Experience: At least 4 years of experience in enterprise IT and/or cybersecurity.\n
• Cybersecurity Architecture: At least 1 year of experience supporting cybersecurity architecture, secure solution design, or security assessments.\n

n In this role, you will support security architecture reviews for cloud and on-premise systems, helping teams design solutions that are secure by design and aligned to GEV security requirements. The ideal candidate brings practical cybersecurity experience, a strong commitment to service excellence, and an interest in protecting and shaping the future of energy.\n \n \nJob Description\n \n \nResponsibilities Include:\n \n \n

• Security Architecture and Governance\n

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• Support security architecture activities for AWS and Azure application and infrastructure deployments.\n
• Participate in security architecture reviews and risk assessments within the enterprise architecture domain governance model.\n
• Contribute to system architecture designs that follow secure-by-design principles and security best practices.\n
• Ensure secure-by-design architectures for AI applications and AI agents, including identity, data access, model and tool integration, runtime controls, and human oversight.\n
• Conduct security reviews for generative AI solutions, agentic workflows, and supporting platforms across cloud and on-premise environments.\n \n

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• Risk, Documentation, and Reusable Guidance\n \n

• Draft and publish risk assessment reports that clearly outline cyber risks and mitigating controls.\n \n

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• Develop and maintain reusable solution patterns that improve clarity, consistency, and alignment across designs.\n
• Develop and maintain security-related documentation, including policies, standards, and leading practices.\n
• 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.\n \n

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• Technical Development and Collaboration\n

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• Research emerging technologies, industry developments, and market trends to support enterprise project delivery and operations.\n
• Build technical knowledge within the function by staying current on industry technology and security trends.\n
• Build peer and cross-functional relationships to share best practices and improve team effectiveness.\n

• Work collaboratively with project teams and the broader security architecture team to provide practical security guidance.\n \n, + Familiarity with security considerations for AI and generative AI applications, including large language model integrations, retrieval-augmented generation, APIs, or agentic systems.\n

• 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.\n
• Relevant security certification or cloud security training, such as Security+, CCSP, AWS Security, or Azure Security, is a plus.\n \n

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• Collaboration and Influence\n \n

• Experience partnering with solution architects to design secure systems.\n
• Strong communication and interpersonal skills, with the ability to work independently and as part of a team.\n \n

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• Ability to communicate recommendations, collaborate with stakeholders, and build alignment across Digital Technology teams.\n \n

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• Problem Solving and Adaptability\n \n

• Strong analytical and problem-solving skills.\n
• Comfortable working in new areas that require rapid learning, sound judgment, and continuous improvement.\n \n

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

\n \nAdditional Information\n \n GE 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.\n \n, 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.\n \n 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.”, “hiringOrganization”: {“@type”: “Organization”, “name”: “GE Vernova”, “logo”: “https://jobs.military.com/attachments/employer/0/961/152/272.svg”}, “jobLocation”: {“address”: {“addressCountry”: “United States”, “streetAddress”: “Not specified”, “@type”: “PostalAddress”, “postalCode”: “02210”, “addressLocality”: “Boston”, “addressRegion”: “Massachusetts - MA”}, “@type”: “Place”}, “industry”: “Computer and Electronic Product Manufacturing”, “identifier”: {“@type”: “PropertyValue”, “name”: “GE Vernova”, “value”: “FD9B248D93CAD5F3ABC9E2394BCDBADB-ffc5ec”}, “baseSalary”: {“@type”: “MonetaryAmount”, “currency”: “USD”, “value”: {“@type”: “QuantitativeValue”, “value”: “Competitive”, “unitText”