Solutions Architect – Enterprise

Job not on LinkedIn

🕒 September 18

🇺🇸 United States – Remote

💵 $224.4k - $326.3k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 31%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nebius Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Nebius Group is building one of the world’s leading AI infrastructure companies, focusing on providing the necessary compute, storage, and tools for developers in the AI space. Based in Europe and listed on Nasdaq, Nebius has a global presence with R&D centers across Europe, North America, and Israel. The company's primary offering is an AI-centric cloud platform designed for intensive AI workloads, complemented by various other businesses involved in generative AI development, edtech, and autonomous technology.

📋 Description

• 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 the Nebius product portfolio with attention to the 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 to help customers move from evaluation to production • Build business cases with sales and customer stakeholders through complex Enterprise decision-making processes • 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 feedback that improves product priorities

🎯 Requirements

• 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 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 • Production experience with GPU platforms, accelerated computing, CUDA or high-performance computing • Hands-on experience with IaC and configuration management tools, preferably Terraform/Ansible, Kubernetes, and Python • Understanding of GPU computing practices for ML training and inference workloads and GPU software stack components, including drivers, CUDA and OpenCL • Experience evaluating total cost of ownership of large-scale compute or GPU workloads

🏖️ 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

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