Key Customers Solutions Architect MEA

1 мес. назад

ОАЭRemote

gpucloud servicesaiml

Support key customers in designing, deploying, and scaling AI solutions using large-scale GPU Cloud services.

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.

seeks a Key Customers Solutions Architect to support key and strategic 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 .
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

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

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