Senior Cloud Architect (GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
is a global technology company that helps cloud-driven organizations leverage public cloud for growth through its 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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