Partner Solutions Architect

Details

Nebius is building a full-stack AI cloud platform for developers and enterprises, supporting workloads from data and model training through production deployment. The platform includes large-scale GPU orchestration, inference optimization, compute, storage, networking, and applied AI.

Role Overview

The Partner Solutions Architect will serve as the technical interface between Nebius and strategic technology partners, including data platforms, MLOps vendors, AI frameworks, and independent software vendors building on GPU infrastructure.

This is a hands-on engineering and integration role focused on designing and developing integrated solutions, building reference implementations, enabling partner engineering teams, and ensuring joint customers succeed with combined offerings. The role will also influence the Nebius product roadmap and drive technical collaboration across partner ecosystems.

The position can be performed remotely from Canada.

Responsibilities

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product teams.
• Design and architect high-impact integration solutions that deliver clear joint customer value.
• Build and maintain reference implementations and production-grade integrations.
• Define enterprise-ready integration patterns covering 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.

Requirements

• 5–10+ years of experience 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, with 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, with experience in Python.
• Excellent communication skills with the ability to engage technical and non-technical audiences.

Preferred Qualifications

• Experience with HPC environments and large-scale GPU clusters.
• Hands-on experience across the machine learning lifecycle, including training, fine-tuning, and retrieval-augmented generation (RAG).
• Practical experience building AI agents, particularly with LangChain.
• Experience with partner technical programs, major cloud or data platforms, or enterprise compliance standards.
• Deep understanding of advanced Kubernetes infrastructure concepts beyond managed Kubernetes services.

Compensation

The on-target earnings range is $235,000–$300,000 CAD per year. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, hiring level, and geographic location.

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.

Nebius is an equal opportunity employer committed to an inclusive and diverse workplace. Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire.