Key Customers Solutions Architect MEA

Nebius · Abu Dhabi, UAE; Dubai, UAE · Engineering

Posted 2026-09-07

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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

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