Lead AI Infrastructure Architect - GCC MLOps & Cloud

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

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