Key Customers Solutions Architect MEA

About Nebius

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers.

In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from UAE .

Your responsibilities will include

Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML

Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability

Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations

Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements

Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges

We expect you to have

Experience: 5-10+ years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads

Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible

Experience with Kubernetes and Python programming

Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL)

Customer-centric approach with a proven ability to build trust and foster long-term relationships

Strong ability to explain technical concepts to technical and non-technical audiences

It will be an added bonus if you have

Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow)

Experience with deep learning frameworks (e.g., PyTorch, TensorFlow)

Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers

Strong project management skills, with the ability to prioritize tasks and deliver on deadlines

Proven experience mentoring technical teams and driving team growth

Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration

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's it like to work at Nebius

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

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.

If you need accommodations during the application process, please let us know.