Key Customers Solutions Architect MEA

Tavily (Nebius); United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Opportunity to work on impactful AI

Job summary

Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, owning the hard problems across compute, storage, networking, and applied AI.

We are seeking a Senior Cloud Solutions Architect / TAC to serve as the primary technical contact, troubleshoot complex AI/ML issues, and guide customers in optimizing GPU performance for ML workloads.

Qualifications

• 5+ to 10+ years in Cloud Solutions Architect, TAC, or Customer Engineer roles.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing for ML training and inference workloads.
• Customer-centric approach with proven ability to build trust and explain concepts clearly.

Responsibilities

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads.
• Partner with the sales team to identify new opportunities and deliver technical presentations.
• Act as a bridge to product teams by providing customer feedback and feature requests.
• Engage with stakeholders to negotiate solutions and drive alignment.

Skills

Kubernetes

Python

Terraform

Ansible

GPU computing

ML training

Customer communication

Tools

Terraform

Ansible

Job description

Responsibilities

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML issues
• Guide customers in optimizing GPU performance for ML training and inference workloads
• Partner with the sales team to identify new opportunities and deliver technical presentations
• Act as a bridge to product teams by providing customer feedback and feature requests
• Engage with stakeholders to negotiate solutions and drive alignment

Requirements

• 5-10+ years of experience in Cloud Solutions Architect, Technical Account Manager, or Customer Engineer roles
• 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 proven ability to build trust
• Strong ability to explain technical concepts to both technical and non-technical audiences

Preferred Qualifications

• Hands-on experience with HPC/ML orchestration frameworks like Slurm or Kubeflow
• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Familiarity with ML tools from NVIDIA, AWS, Azure, or Google Cloud
• Strong project management and mentoring skills
• Expertise in stakeholder negotiation

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

About the Company

Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, owning the hard problems across compute, storage, networking, and applied AI.