Key Customers Solutions Architect MEA
About this role
Nebius builds a full-stack AI cloud platform that supports developers and enterprises across data and model training, large-scale GPU orchestration, and inference optimization. This role acts as a trusted technical advisor to support key GPU cloud services clients by helping them design, deploy, and scale AI solutions for workloads involving hundreds to thousands of GPUs. Candidates who thrive here will enjoy collaborating with sales and product teams to drive growth, handle complex technical troubleshooting, and manage customer relationships while working remotely from the UAE.
What you will do
- Act as the primary technical contact for strategic clients to troubleshoot and resolve complex artificial intelligence and machine learning challenges.
- Guide clients in optimizing graphical processing unit performance for machine learning training and inference workloads to ensure scalability.
- Partner closely with the sales department to spot new opportunities, present technical demonstrations, and promote recent products.
- Relay customer feedback and feature requests to internal product teams to maintain alignment with client requirements.
- Engage internal and external stakeholders to negotiate technical solutions and drive consensus on customer challenges.
What you need
- Bring five to ten or more years of professional background working as a cloud solutions architect, technical account manager, or customer engineer.
- Demonstrate hands-on proficiency using infrastructure as code tools such as Terraform and Ansible.
- Show practical experience working with Kubernetes and writing Python code.
- Possess a solid understanding of graphical processing unit computing, machine learning stacks, and related inference workloads.
- Maintain a customer-centric mindset with the ability to explain intricate technical ideas to varied audiences.
Nice to 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
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
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
You’re welcome to work remotely from UAE.
What compensation and perks are offered?
The company offers competitive compensation, career growth and learning opportunities, flexibility and ownership, a collaborative and innovative culture, the opportunity to work on impactful AI projects, and an international environment with talented teams.
What tools and technologies will I work with?
The tech stack includes Infrastructure as Code tools like Terraform and Ansible, Kubernetes, Python, and GPU stacks such as CUDA and OpenCL.
What are the primary duties of this position?
You will serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML issues while guiding customers in optimizing GPU performance for ML training and inference workloads.