Principal Solutions Architect

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

Job summary

Nebius is seeking a seasoned Solutions Architect to own end-to-end technical presales and solution delivery for strategic customers across the Middle East. You will serve as a trusted advisor to CTOs and Head of ML, leading ML/AI infrastructure and MLOps architectures for large-scale training and inference.

Design and document reference architectures and Infrastructure-as-Code solutions, drive PoCs and architecture reviews, and collaborate with Sales, Product, and Engineering to shape the

Qualifications

• 10+ years in senior technical roles such as 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.
• Experience with enterprise customers across GCC and fluency in Arabic and English.

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.

Skills

Cloud systems

Kubernetes

GPU computing

MLOps

AI infrastructure

Enterprise engagement

Tools

Kubernetes

Cloud providers

Job description

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