AI Solutions Architect - Cloud & Data Foundations

Metyis; Porto; Híbrido; EUR 85 000 - 120 000; Tempo integral

Resumo da oferta

Metyis in Porto is seeking an experienced AI Infra/DevOps leader to design and own the technical backbone of a large-scale AI transformation. You will work at the intersection of cloud infrastructure, data engineering, and applied AI, with architectural ownership and collaboration with senior stakeholders across an international organization.

The role emphasizes reliability, security, and cost management, with exposure to Azure, Databricks, Docker, Kubernetes, and modern CI/CD pipelines.

Qualificações

• At least 5 years in DevOps or cloud architecture in large-scale environments.
• Solid knowledge of AI tooling, data platforms, and model deployment.
• Experience with major cloud providers and Databricks.
• Ability to translate constraints to business language.
• Strong focus on reliability, security, and cost management.

Responsabilidades

• Ensure architectural standards and AI solution portability.
• Collaborate with data, IT and business stakeholders to build scalable foundations.
• Advise on solution design and target architecture for AI apps.
• Draft technical specs and monitor development progress.
• Oversee integration and scaling of AI systems across teams.
• Monitor infrastructure performance, costs, and model updates.
• Participate in governance forums and document decisions.
• Identify risks and mitigations to protect timelines.

Conhecimentos

DevOps

Cloud infrastructure

IT architecture

AI tooling

Stakeholder collaboration

Ferramentas

Docker

Kubernetes

Databricks

CI/CD pipelines

Monitoring tools

Descrição da oferta de emprego

Metyis in Porto is seeking an experienced AI Infra/DevOps leader to design and own the technical backbone of a large-scale AI transformation. You will work at the intersection of cloud infrastructure, data engineering, and applied AI, with architectural ownership and collaboration with senior stakeholders across an international organization.

The role emphasizes reliability, security, and cost management, with exposure to Azure, Databricks, Docker, Kubernetes, and modern CI/CD pipelines.