Solutions Architect, Enterprise

Nebius

2d • $224,400 - $326,300 • Remote

About The Position

Nebius is hiring a Solutions Architect, Enterprise, to serve as the technical lead for a portfolio of large customers evaluating, adopting, and expanding Nebius AI Cloud. The role connects customers’ AI strategies and business priorities to secure, scalable architectures and guides them from technical discovery and scoping through production adoption.

The position sits at the intersection of cloud architecture, AI infrastructure, and business value. The Solutions Architect partners with Enterprise sales leaders and engages executives, platform and infrastructure teams, security stakeholders, and AI and machine learning practitioners. The role is open to remote work from the USA and requires travel as customer and business needs require.

Requirements

• At least 7 years of experience in solutions architecture, cloud architecture, platform engineering, systems engineering, or a comparable customer-facing technical role.
• A proven track record 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 engaging CIOs, CTOs, infrastructure leaders, AI leaders, and business sponsors.
• Strong knowledge of 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 associated with large-scale training and inference workloads.
• Willingness to travel as customer and business needs require.
• Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire.

Nice To Haves

• 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 or Ansible; Kubernetes; and writing code in Python.
• Solid understanding of GPU computing practices for machine-learning training and inference workloads, and 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.

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 to help customers move from evaluation to production.
• Build business cases with sales and customer stakeholders and navigate 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 to improve product priorities.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed