Partner Solutions Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the technical liaison between Nebius and key technology partners, including data platforms, MLOps vendors, AI frameworks, and ISVs.

• Manage technical partnerships, serving as the primary point of contact for Nebius engineering and product teams.

• Design and develop high-impact integration solutions that deliver shared value to customers.

• Create and sustain reference implementations and production-grade integrations.

• Establish enterprise-ready integration patterns focusing on networking, security, compliance, and observability.

• Convert partner and customer feedback into practical product and roadmap specifications.

• Empower partner teams with technical documentation, training, and demo environments.

• Provide technical guidance in collaborative customer deployments, architecture assessments, and complex troubleshooting.

• Shape Nebius’ product roadmap and foster in-depth technical collaboration across partner ecosystems.

⛳️ Requirements

• 5–10+ years of experience in solutions architecture, partner engineering, or technical pre-sales roles within cloud or data platform companies.

• A Bachelor’s degree or foreign equivalent in a relevant field, or a comparable combination of education and practical experience.

• Extensive expertise in cloud infrastructure.

• Specialized knowledge in large-scale Kubernetes deployments and containerized environments.

• Strong practical experience with Infrastructure as Code, particularly Terraform.

• Direct experience in deploying production AI workloads, especially inference, along with architecting or implementing agentic solutions.

• Proven experience in integration architecture, covering API design, data pipelines, security, and observability.

• Proficiency in Python.

• Exceptional communication skills, capable of engaging both technical and non-technical audiences.

• Applicants must be authorized to work in the country of application and provide proof of employment eligibility.

• Added bonus: experience with HPC environments and large-scale GPU clusters.

• Added bonus: practical experience across the ML lifecycle, including training, fine-tuning, and RAG.

• Added bonus: hands-on experience in building AI agents, particularly with LangChain.

• Added bonus: familiarity 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 their families.

• Up to 4% company match with immediate vesting through the 401(k) Plan.

• 20 weeks of paid parental leave for primary caregivers and 12 weeks for secondary caregivers.

• Up to $85/month remote work reimbursement for mobile and internet expenses.

• Company-paid short-term, long-term, and life insurance coverage.

• Competitive compensation.

• Opportunities for career growth and learning.

• Flexibility and ownership in your role.

• A collaborative and innovative workplace culture.

• Chance to engage in impactful AI projects.

• An international environment with talented teams.