Partner Solutions Architect (AI)

Location: Remote from Singapore

Company

Nebius builds a full-stack AI cloud platform for data and model training through production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

• Own the technical relationship with strategic partners and act as the primary interface with engineering and product teams.
• Design and architect integrated solutions that deliver value for joint customers.
• 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 product and roadmap requirements.
• Enable partner teams through technical documentation, training, demos, architecture reviews, and complex troubleshooting.

Requirements

• 5+ years of experience in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies.
• Strong expertise in cloud infrastructure and hands-on experience with GPU-accelerated AI/ML workflows, including training, inference, and MLOps.
• Experience with integration architecture, API design, data pipelines, security, and observability.
• Experience with Python and infrastructure-as-code tools.
• Excellent communication skills for engaging technical and non-technical stakeholders.
• Applicants must be authorized to work in Singapore and provide proof of employment eligibility.

Nice to have

• Experience building or scaling partner technical programs or ecosystems.
• Experience with Snowflake, Databricks, AWS, Azure, or GCP.
• Background in ML lifecycle management, including training pipelines, fine-tuning, inference optimization, and RAG.

Culture & Benefits

• Competitive compensation.
• Career growth and learning opportunities.
• Flexibility, ownership, and a collaborative working environment.
• Opportunity to work on impactful AI projects with an international team.
• Fast-moving environment focused on meaningful impact and shaping the future of AI.