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Solutions Architect, Enterprise

Nebius· AMER (SoA)
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Hybrid (United States)$224.4k - $326.3kFull-timePosted 5d ago

About the role

Technical role leading Enterprise engagements for Nebius AI Cloud, guiding large customers from discovery to production adoption by designing secure, scalable AI cloud architectures and aligning customer priorities with Nebius product portfolio.

Responsibilities

  • Serve as the trusted technical advisor for Enterprise accounts throughout evaluation, onboarding, adoption and expansion.
  • Lead technical discovery with business and technology stakeholders, clarify success criteria and translate requirements into practical AI cloud architectures.
  • Design solutions across Nebius product portfolio, with clear attention to Enterprise value proposition.
  • Plan and deliver architecture workshops, executive briefings, demonstrations, proofs of concept and technical enablement sessions.
  • Develop reference architectures, deployment patterns and infrastructure-as-code examples that help customers move from evaluation to production.
  • Build business cases with sales and customer stakeholders, navigating through complex decision-making processes in Enterprise.
  • Coordinate with Sales, Product, Engineering, Support and Customer Experience to resolve risks, define ownership and maintain momentum across complex engagements.
  • Represent the voice of Enterprise customers internally and provide specific feedback that improves product priorities.

Qualifications

  • 7+ years of experience in solutions architecture, cloud architecture, platform engineering, systems engineering or a comparable customer-facing technical role.
  • Proven track record supporting Enterprises and a working understanding of how they evaluate, purchase, govern, deploy and expand strategic technology platforms.
  • Excellent presentation, facilitation and stakeholder-management skills, including confidence with CIOs, CTOs, infrastructure leaders, AI leaders and business sponsors.
  • Strong knowledge and hands on experience with cloud-native infrastructure, including compute and orchestration, storage, networking, security, identity and Kubernetes.
  • Understanding of Enterprise AI adoption lifecycle and success criteria associated with large-scale training and inference workloads.
  • Willingness to travel as customer and business needs require.

Skills

Required:Enterprise solutions architectureTechnical leadershipCloud-native infrastructure

Benefits

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
Last updated Oct 21, 2026. Interested? Apply on the company site.
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The ultimate cloud for AI explorers

Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

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