AI Systems Architect: Cloud & Data Platform Lead

metyisag; Porto; Presencial; EUR 90 000 - 130 000; Tempo integral

Resumo da oferta

Metyis is seeking an AI Architect with 8 years of experience to join the Data and Analytics team in Porto. You will own the architectural vision for enterprise AI solutions, ensuring scalability, security and governance across cloud environments.

You will collaborate with data, IT and business stakeholders, define reference architectures, and guide teams on AI product delivery, model serving, data pipelines, and infrastructure-as-code best practices. English fluency required.

Qualificações

• 8 years of professional experience with at least 5 years in DevOps, cloud infra, IT architecture, or a closely related field.
• Solid understanding of AI and ML components, including data pipelines and model serving.
• Experience setting architectural standards across multiple teams or projects.
• Experience with major cloud providers and infrastructure-as-code practices.

Responsabilidades

• Ensure architectural consistency of AI solutions and portability across environments.
• Establish scalable, reliable, secure AI data foundations with stakeholders.
• Advise on solution design and target architecture for AI applications.
• Draft technical specs, track progress, and oversee testing for quality and performance.
• Oversee integration, management, and scaling of AI systems across teams.

Conhecimentos

DevOps

Cloud infrastructure

IT architecture

AI tooling

Docker

Kubernetes

CI/CD

Data pipelines

English fluency

Ferramentas

Databricks

Azure

AWS

GCP

Terraform

CI/CD tooling

Descrição da oferta de emprego

Metyis is seeking an AI Architect with 8 years of experience to join the Data and Analytics team in Porto. You will own the architectural vision for enterprise AI solutions, ensuring scalability, security and governance across cloud environments.

You will collaborate with data, IT and business stakeholders, define reference architectures, and guide teams on AI product delivery, model serving, data pipelines, and infrastructure-as-code best practices. English fluency required.