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14 часов назад

Senior Cloud Architect (GenAI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Ireland/Portugal +4 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Cloud Architect (GenAI): Leading the design and implementation of production-grade ML and Generative AI solutions on AWS with an accent on scalability, cost-efficiency, and multi-cloud integration. Focus on transforming complex business requirements into secure cloud architectures and developing reusable patterns to enhance product adoption and customer health.

Location: Remote in UK, Ireland, Estonia, Sweden, Netherlands, Israel, Portugal, or Eastern Europe

Company

hirify.global is a global technology company that helps cloud-driven organizations leverage public cloud for growth through its hirify.global Cloud Intelligence platform.

What you will do

  • Lead the design and implementation of production-grade ML and GenAI solutions on AWS.
  • Act as a hands-on expert and advisor for customers running AI/ML workloads at scale.
  • Optimize cloud environments for cost efficiency, reliability, security, and operational performance.
  • Convert one-off customer solutions into reusable patterns, Terraform modules, and internal documentation.
  • Collaborate with account teams (CSMs, AMs) to drive technical depth and platform adoption.
  • Provide structured feedback to Product and Engineering teams to influence the DCI roadmap.

Requirements

  • 4+ years of experience architecting and managing cloud-based AI/ML solutions.
  • Advanced proficiency with AWS, specifically Amazon Bedrock and SageMaker.
  • Strong prompt engineering skills and experience with LLM fine-tuning and evaluation.
  • Expertise in MLOps, CI/CD for AI/ML, and distributed training (multi-GPU).
  • Knowledge of data engineering on AWS (S3, Glue, Lake Formation, Redshift).
  • Must be based in UK, Ireland, Estonia, Sweden, Netherlands, Israel, Portugal, or Eastern Europe.

Nice to have

  • BA/BS degree in Computer Science or Mathematics.
  • AI/ML certifications from AWS, GCP, or recognized academic institutions.
  • Experience with RLHF, Hugging Face, or hybrid AI architectures.
  • Background as an ML Engineer or Data Scientist in consulting or SaaS environments.

Culture & Benefits

  • Unlimited Vacation and flexible working options.
  • Health insurance and parental leave.
  • Employee Stock Option Plan (ESOP).
  • Home office allowance and professional development stipend.
  • Inclusive, remote-first global culture with an entrepreneurial spirit.

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