Principal Solutions Architect

Tavily (Nebius) · Abu Dhabi

UAE remoteFully remoteFull TimeSenior, LeadInformation Technology
Posted 3mo ago

Why we think you can apply

Employer country
United Arab Emirates · Abu Dhabi
Hiring model
UAE-based role · the employer hires in the UAE
Work from
Anywhere in the UAE
Time-zone overlap
Gulf Standard Time · none needed

Posted 3 months ago · apply link checked 5 hours ago

About the role

About the Company

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.

Responsibilities

  • Own end-to-end technical presales and solution delivery for strategic customers across the Middle East
  • Serve as a trusted technical advisor to senior customer stakeholders including CTOs and Head of ML
  • Lead complex ML/AI infrastructure and MLOps architectures for large-scale training and inference
  • Design and document reference architectures and Infrastructure-as-Code solutions
  • Drive advanced PoCs, workshops, and architecture reviews to accelerate customer adoption
  • Partner with Sales, Product, and Engineering to influence the product roadmap
  • Mentor and provide technical leadership to other Solutions Architects

Requirements

  • 10+ years of experience in senior technical roles like Solutions Architect or ML Platform Engineer
  • Deep expertise in cloud infrastructure, distributed systems, Kubernetes, and GPU-accelerated computing
  • Strong understanding of AI/ML infrastructure, MLOps, and large-scale GPU environments
  • Extensive experience working with enterprise customers across the GCC (UAE, Saudi Arabia, Qatar, etc.)
  • Native or fluent Arabic and professional English
  • Ability to travel across the Middle East as required

Preferred Qualifications

  • Experience with hyperscale cloud providers or AI infrastructure companies
  • Experience supporting sovereign cloud or government/regulated industry customers
  • Knowledge of modern AI frameworks and distributed training technologies
  • Existing relationships within the regional AI and cloud ecosystem

What we look for

  • 10+ years technical experience
  • Cloud infrastructure expertise
  • Kubernetes and containers
  • GPU-accelerated computing
  • MLOps knowledge
  • Fluent Arabic and English
  • GCC enterprise experience
KubernetesMLOpsGPU
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