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1 день назад

Principal Solutions Architect (AI)

Формат работы
remote (только United_arab_emirates)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Principal Solutions Architect (AI): Leading technical presales and solution design for the hirify.global AI Cloud across the UAE and MEA region with an accent on AI/ML infrastructure and high-performance computing. Focus on translating customer requirements into scalable architectures, executing PoCs, and driving adoption of GPU-accelerated workloads.

Location: Must be based in the UAE (Remote within the country)

Company

hirify.global is a cloud computing company providing advanced infrastructure and tools to serve the global AI economy.

What you will do

  • Own end-to-end technical presales engagements, from discovery through solution design to production readiness.
  • Act as a trusted technical advisor for CTOs, Heads of AI/ML, and platform engineering teams.
  • Deliver compelling technical presentations, demos, and workshops to communicate platform value.
  • Execute PoCs to demonstrate performance, scalability, and cost efficiency of AI solutions.
  • Translate customer requirements into scalable, production-ready architectures and best practices.
  • Collaborate with Sales, Product, and Engineering to align customer needs with the product roadmap.

Requirements

  • 2-5+ years of experience as a Solutions Architect, Cloud Architect, or Sales Engineer with customer-facing exposure.
  • Proven experience in presales, including discovery and PoC execution.
  • Solid understanding of ML/AI workloads (training and inference) and underlying infrastructure.
  • Proficiency with cloud platforms, Kubernetes, distributed systems, Terraform, and Python.
  • Fluency in English and Arabic (preferred).
  • Deep understanding of the MEA market, customer behaviors, and local ecosystem.

Nice to have

  • Experience with GPU-accelerated workloads and the NVIDIA ecosystem (CUDA, etc.).
  • Hands-on experience with MLOps tools and frameworks such as Kubeflow or MLflow.
  • Familiarity with HPC environments and schedulers like Slurm.
  • Experience contributing to regional go-to-market or developer community initiatives.

Culture & Benefits

  • Competitive salary and comprehensive benefits package.
  • Flexible working arrangements.
  • Opportunities for professional growth within a rapidly expanding AI company.
  • Dynamic and collaborative work environment that values initiative and innovation.

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