Solutions Architect, Enterprise

Details

Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through production deployment. The platform covers compute, storage, networking, GPU orchestration, inference optimization, and applied AI.

As a Solutions Architect, Enterprise, you will be the technical lead for a portfolio of large customers evaluating, adopting, and expanding Nebius AI Cloud. You will connect customer AI strategies and business priorities to secure, scalable architectures, guiding customers from technical discovery through technical scoping and production adoption.

The role sits at the intersection of cloud architecture, AI infrastructure, and business value. You will work with Enterprise sales leaders and engage executives, platform teams, infrastructure leaders, security stakeholders, and AI or machine learning practitioners. The role is remote within the United States.

Responsibilities

• Serve as the trusted technical advisor for Enterprise accounts throughout evaluation, onboarding, adoption, and expansion.
• Lead technical discovery with business and technology stakeholders, clarify success criteria, and translate requirements into practical AI cloud architectures.
• Design solutions across the Nebius product portfolio, with clear attention to the Enterprise value proposition.
• Plan and deliver architecture workshops, executive briefings, demonstrations, proofs of concept, and technical enablement sessions.
• Develop reference architectures, deployment patterns, and infrastructure-as-code examples that help customers move from evaluation to production.
• Build business cases with sales and customer stakeholders while navigating complex Enterprise decision-making processes.
• Coordinate with Sales, Product, Engineering, Support, and Customer Experience to resolve risks, define ownership, and maintain momentum across complex engagements.
• Represent the voice of Enterprise customers internally and provide specific feedback that improves product priorities.

Requirements

• 7+ years of experience in solutions architecture, cloud architecture, platform engineering, systems engineering, or a comparable customer-facing technical role.
• Proven experience supporting Enterprise customers and a working understanding of how they evaluate, purchase, govern, deploy, and expand strategic technology platforms.
• Excellent presentation, facilitation, and stakeholder-management skills, including confidence working with CIOs, CTOs, infrastructure leaders, AI leaders, and business sponsors.
• Strong knowledge and hands-on experience with cloud-native infrastructure, including compute and orchestration, storage, networking, security, identity, and Kubernetes.
• Understanding of the Enterprise AI adoption lifecycle and success criteria for large-scale training and inference workloads.
• Willingness to travel as customer and business needs require.

Preferred Qualifications

• Production experience with GPU platforms, accelerated computing, CUDA, or high-performance computing.
• Strong hands-on experience with infrastructure-as-code and configuration-management tools, preferably Terraform and Ansible.
• Kubernetes experience and the ability to write code in Python.
• Solid understanding of GPU computing practices for machine-learning training and inference workloads, as well as GPU software stack components such as drivers and libraries including CUDA and OpenCL.
• Experience evaluating the total cost of ownership of large-scale compute or GPU workloads.

Compensation

The on-target earnings range is $224,400–$326,300 USD. 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 fostering an inclusive and diverse workplace. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.