Partner Solutions Architect

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $250k - $320k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.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 technical interface between Nebius and strategic technology partners, including data platforms, MLOps vendors, AI frameworks, and ISVs • Own technical relationships with strategic partners as the primary interface to Nebius engineering and product • Design and architect high-impact integration solutions delivering joint customer value • Build and maintain reference implementations and production-grade integrations • Define enterprise-ready integration patterns for networking, security, compliance, and observability • Translate partner and customer feedback into actionable product and roadmap requirements • Enable partner teams through technical documentation, training, and demo environments • Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting • Influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems

🎯 Requirements

• 5–10+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies • Bachelor’s degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience • Deep cloud infrastructure expertise • Specialist experience in large-scale Kubernetes deployments and containerized environments • Strong hands-on experience with Infrastructure as Code, especially Terraform • Hands-on experience deploying production AI workloads, particularly inference, and architecting or implementing agentic solutions • Proven background in integration architecture, including API design, data pipelines, security, and observability • Experience with Python • Excellent communication skills with the ability to engage technical and non-technical audiences • Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility • Added bonus: experience with HPC environments and large-scale GPU clusters • Added bonus: hands-on experience across the ML lifecycle, including training, fine-tuning, and RAG • Added bonus: practical experience building AI agents, particularly with LangChain • Added bonus: experience with partner technical programs, major cloud or data platforms, or enterprise compliance standards • Added bonus: deep understanding of advanced Kubernetes infrastructure concepts beyond managed Kubernetes services

🏖️ Benefits

• 100% company-paid medical, dental, and vision coverage for employees and families • Up to 4% company match with immediate vesting through the 401(k) Plan • 20 weeks paid parental leave for primary caregivers and 12 weeks for secondary caregivers • Up to $85/month remote work reimbursement for mobile and internet • Company-paid short-term, long-term, and life insurance coverage • 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