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обновлено 26 дней назад

Principal Solutions Architect (AI Cloud)

Формат работы
remote (только Middle_east)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/UAE +2 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Principal Solutions Architect (AI Cloud): Leading complex presales and end-to-end customer solution ownership for large-scale ML workloads across the Middle East with an accent on GPU-accelerated cloud infrastructure, MLOps, and enterprise architecture. Focus on designing reference architectures, executing advanced PoCs, supporting production adoption, and influencing the AI cloud product roadmap.

Location: Remote from the Middle East, with preference for candidates based in the United Arab Emirates; travel across the Middle East is required as needed.

Company

Nebius is building a full-stack AI cloud platform for data processing, model training, inference, and production deployment, with headquarters in Amsterdam and R&D hubs across Europe, the UK, North America, and Israel.

What you will do

  • Own technical presales and solution delivery for strategic and enterprise customers, from discovery and PoCs through architecture design and production readiness.
  • Advise CTOs, ML leaders, platform engineering teams, and AI infrastructure stakeholders.
  • Design ML/AI infrastructure and MLOps architectures for large-scale training and inference on GPU-accelerated cloud platforms.
  • Create reference architectures, Infrastructure-as-Code solutions, and deployment patterns using Nebius AI.
  • Lead workshops, architecture reviews, executive presentations, and advanced PoCs.
  • Partner with Sales, Product, Engineering, Support, and Marketing while mentoring other Solutions Architects and influencing product roadmap decisions.

Requirements

  • 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, or ML Platform Engineer, including significant customer-facing work.
  • Deep expertise in cloud infrastructure, distributed systems, networking, storage, Kubernetes, containers, and GPU-accelerated computing.
  • Strong understanding of AI/ML infrastructure, MLOps, model training, inference, and large-scale GPU environments.
  • Experience delivering complex enterprise architectures, technical discovery sessions, architecture workshops, and proof-of-concepts.
  • Strong experience with enterprise customers and regional technology ecosystems across the GCC countries.
  • Native or fluent Arabic and professional English are required.

Nice to have

  • Experience with hyperscale cloud providers or AI infrastructure companies.
  • Experience supporting sovereign cloud, government, or regulated-industry customers.
  • Knowledge of modern AI frameworks, distributed training technologies, and open-source AI tooling.
  • Public speaking experience and existing relationships in the regional AI, cloud, or enterprise technology ecosystem.

Culture & Benefits

  • Competitive compensation and career growth opportunities.
  • Learning opportunities, flexibility, and ownership.
  • Collaborative, innovative, and international working environment.
  • Opportunity to work on impactful AI projects with experienced engineering and AI R&D teams.
  • Fast-moving culture focused on bold thinking, continuous growth, meaningful impact, and trust.

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