Partner Solutions Architect

Nebius Group

Partner Solutions Architect bridging Nebius with technology partners to drive AI solutions. Engage in design and integration of GPU infrastructure-based projects.

Posted 7/16/2026full-timeRemote • 🇪🇺 Anywhere in EuropeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in solutions architecture and integration patterns, with a strong focus on cloud infrastructure and GPU-accelerated AI/ML workflows. Capable of translating partner feedback into actionable requirements while providing technical leadership in deployments and architecture reviews.

Highest-signal resume keywords

Solutions ArchitectureCloud InfrastructureGPU-Accelerated AI/ML WorkflowsIntegration ArchitecturePython and IaC Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solutions ArchitectureIntegration ArchitectureAPI DesignData PipelinesSecurityObservabilityGPU-Accelerated AI/ML WorkflowsMLOpsTechnical DocumentationTraining

Soft Skills

Excellent Communication SkillsStakeholder Engagement

Industry Keywords

CloudData PlatformTechnical Pre-SalesPartner EngineeringEnterprise-Ready Integration Patterns

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
Design and architect high-impact integration solutions, delivering clear joint customer value
Build and maintain reference implementations and production-grade integrations
Define enterprise-ready integration patterns (networking, security, compliance, 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

Requirements

What you’ll need

5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
Strong expertise in cloud infrastructure
Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
Proven background in integration architecture (API design, data pipelines, security, observability)
Experience with Python and IaC tools
Excellent communication skills with the ability to engage technical and non-technical stakeholders.

Benefits

Comp & perks

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