Назад
2 дня назад

Key Customers Solutions Architect (AI)

Формат работы
remote (только United_arab_emirates)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/UAE +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Key Customers Solutions Architect (AI): Designing, deploying, and scaling AI solutions for strategic customers using Nebius GPU Cloud, with an accent on large-scale GPU workloads, ML training and inference, and cloud infrastructure integration. Focus on optimizing GPU performance, troubleshooting complex AI/ML environments, and aligning customer requirements with sales and product teams.

Location: Remote from the UAE; Abu Dhabi or Dubai, UAE

Company

Nebius builds a full-stack AI cloud platform for data processing, model training, inference, and production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

  • Serve as the primary technical contact for key and strategic Nebius GPU Cloud customers.
  • Design, deploy, troubleshoot, and scale AI/ML solutions involving hundreds to thousands of GPUs.
  • Help customers optimize GPU performance for ML training and inference workloads.
  • Partner with sales to identify opportunities, promote products, and deliver technical presentations.
  • Relay customer feedback and feature requests to product teams.
  • Coordinate stakeholders, negotiate solutions, and drive alignment on customer challenges.

Requirements

  • 5–10+ years of experience in cloud solutions architecture, technical account management, customer engineering, or similar roles.
  • Hands-on experience with cloud services and AI/ML workloads.
  • Proficiency with Infrastructure as Code tools such as Terraform and Ansible.
  • Experience with Kubernetes and Python.
  • Strong understanding of GPU computing, ML training and inference workloads, and GPU stacks such as CUDA or OpenCL.
  • Applicants must be authorized to work in the country in which they apply.

Nice to have

  • Experience with HPC/ML orchestration frameworks such as Slurm or Kubeflow.
  • Experience with PyTorch, TensorFlow, or ML tools from NVIDIA, AWS, Azure, and Google Cloud.
  • Project management, technical team mentoring, and stakeholder negotiation experience.

Culture & Benefits

  • Competitive compensation.
  • Career growth and learning opportunities.
  • Flexibility and ownership.
  • Collaborative, innovative, and international environment.
  • Opportunity to work on impactful AI projects.

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