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Sr. Staff Enterprise Architect

GE Vernova · Boston, MA

Publicada em 29/07/2026

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Job Description SummaryGE Vernova's next generation of engineering design runs on high-performance computing (HPC) and artificial intelligence (AI) - and you could be the person who builds and leads it. In this senior technical role, you will architect, deploy, and continuously improve cloud-based HPC and AI platforms on Amazon Web Services (AWS), directly enabling engineering teams to solve complex problems faster and more efficiently. Your work sits at the intersection of Advanced design tools, Computing Platform, export-controlled regulatory environments, and emerging AI-driven operations - a combination that is genuinely rare and genuinely important.Job DescriptionWhat You'll DoArchitect and operate integrated HPC and AI platforms on AWS, ensuring high availability, reliability, and performance for engineering design workloadDesign and implement cybersecurity controls in partnership with Compliance teams to meet U.S. Department of Commerce (DoC) Export Control requirementsLead platform reliability by troubleshooting systemic issues and driving scalable, long-term solutions that improve cost efficiency and operational performanceApply AI/ML techniques to optimize infrastructure utilization, workload performance, and day-to-day operationsDeliver architecture roadmaps aligned to product rollout needs and business outcomes, contributing to GE Vernova's long-term compute strategyMentor and develop team members, leading blended teams that include third-party partners and cross-functional collaboratorsWho We're Looking ForYou are a senior cloud and infrastructure professional who combines deep technical expertise with the ability to shape strategy, influence stakeholders, and grow the people around you. You are comfortable in regulated environments, energized by hard problems, and experienced enough to know when to build versus when to buy.Required10+ years in cloud infrastructure or systems architectureHands-on experience designing and operating AWS Cloud environments
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