AI Solutions Architect for Multi-GPU Cloud Deployments

Nebius; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning opps

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI is

Job summary

Nebius, a leader in cloud infrastructure for the AI economy, seeks a Specialist Solutions Architect to design scalable AI solutions for customers and guide large GPU deployments from planning through production. You will act as a trusted advisor, presenting technical concepts and collaborating with client teams to translate requirements into robust architectures.

Remote from any EU country or on-site in Amsterdam, you will combine deep ML tech understanding with excellent communication to drive

Qualifications

• 3+ years of experience with cloud technologies in MLOps engineering, ML engineering or similar roles.
• Strong understanding of ML ecosystems, including models, use cases and tooling.
• Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
• Hands-on knowledge of PyTorch or JAX.

Responsibilities

• Designing customer-centric solutions that maximize business value and align with strategic goals.
• Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
• Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
• Collaborating with engineering and product teams to relay customer feedback clearly.

Skills

Cloud technologies

ML frameworks

Distributed training

Communication

Tools

Kubernetes

Docker

Terraform

PyTorch

Job description

Nebius, a leader in cloud infrastructure for the AI economy, seeks a Specialist Solutions Architect to design scalable AI solutions for customers and guide large GPU deployments from planning through production. You will act as a trusted advisor, presenting technical concepts and collaborating with client teams to translate requirements into robust architectures.

Remote from any EU country or on-site in Amsterdam, you will combine deep ML tech understanding with excellent communication to drive