Senior Cloud Architect: AI/ML Cloud at Scale (Remote)

DoiT; Ireland; On-site; EUR 150,000 - 190,000; Full time

Benefits offered by this job

Unlimited Vacation

Flexible Working Options

Health Insurance

Parental Leave

Employee Stock Option Plan

Home Office Allowance

Professional Development Stipend

Peer Recognition Program

Job summary

DoiT is seeking a Senior Cloud Architect to join our global Forward Deployed Engineering team. This remote role supports customers across EMEA and beyond, focusing on install base health, product adoption, and proactive engagements.

You will lead design and implementation of production-grade ML/GenAI solutions on AWS and multi-cloud environments, translating business needs into secure, cost-efficient architectures while influencing the product roadmap.

Qualifications

• Proven ability to design and operate large-scale cloud architectures.
• Experience with multi-cloud environments and cost optimization strategies.
• Strong communication and advisory skills for senior customer stakeholders.
• Hands-on expertise in ML/GenAI workloads on cloud platforms.

Responsibilities

• Lead the design and implementation of production-grade ML/GenAI solutions on AWS and multi-cloud environments.
• Act as hands-on expert and trusted advisor for customers running AI/ML workloads at scale.
• Translate complex business problems into secure, reliable, and cost-efficient cloud architectures.
• Evolve internal DoiT AI/ML usage by turning solutions into reusable patterns and roadmaps.
• Focus on install base health, product adoption, and proactive customer engagements.

Skills

Cloud Architecture

AWS Expertise

GenAI/ML Ops

Client Advisory

Education

Bachelor's degree in CS or related

Tools

Terraform

Kubernetes

SageMaker

Job description

DoiT is seeking a Senior Cloud Architect to join our global Forward Deployed Engineering team. This remote role supports customers across EMEA and beyond, focusing on install base health, product adoption, and proactive engagements.

You will lead design and implementation of production-grade ML/GenAI solutions on AWS and multi-cloud environments, translating business needs into secure, cost-efficient architectures while influencing the product roadmap.