Назад
Company hidden
32 минуты назад

Cloud Solutions Architect (AI/ML)

215 000 - 320 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Cloud Solutions Architect (AI/ML): Designing and implementing scalable AI/ML solutions powered by GPU cloud environments with an accent on cloud-native architecture, MLOps, infrastructure as code, and customer enablement. Focus on optimizing machine learning pipelines, leading proof-of-concepts, and translating business requirements into performant, scalable, and cost-efficient systems.

Location: Remote from the United States or Canada

Compensation: $215K–$320K OTE, with higher expectations considered and up to $500K OTE possible; base usually up to $215K with some exceptions. OTE includes base, bonus, and RSUs.

Company

Cloud technology company building GPU cloud infrastructure that helps organizations develop and scale AI/ML solutions without large in-house teams or substantial upfront infrastructure costs.

What you will do

  • Advise customers through workshops, presentations, and training on GPU cloud technologies.
  • Translate business requirements into scalable, cloud-native solution architectures.
  • Design and document infrastructure-as-code deployments and technical guides with support engineers and technical writers.
  • Optimize customer ML pipelines for performance, scalability, and cost efficiency.
  • Represent customer use cases to product, engineering, and marketing teams while contributing to product and customer-success strategy.

Requirements

  • 5–10+ years of experience in cloud computing roles, such as solutions architect, systems engineer, or developer.
  • Strong hands-on experience with infrastructure as code using Terraform or Ansible, and Kubernetes.
  • Excellent communication and presentation skills.
  • Strong customer-facing and problem-solving mindset.

Nice to have

  • Understanding of GPU computing for ML training and inference, including CUDA and OpenCL.
  • Experience with HPC/ML orchestration frameworks such as Slurm or Kubeflow.
  • Hands-on experience with TensorFlow or PyTorch.
  • Familiarity with AWS, Azure, Google, or NVIDIA cloud ML ecosystems.

Culture & Benefits

  • Flat structure with minimal bureaucracy and a focus on speed, ownership, and technical excellence.
  • Direct customer collaboration and influence on product direction.
  • 100% employer-paid medical, dental, and vision coverage for employees and families.
  • 401(k) with up to 4% employer match and immediate vesting.
  • Paid parental leave: 20 weeks for primary caregivers and 12 weeks for secondary caregivers.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →