Mid AI Architect Porto, Portugal

Metyis AG; Porto; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

At Metyis, we are seeking a seasoned AI Infrastructure Architect to design and govern scalable data and AI platforms for a global client base. You will own architectural standards, ensure portability across environments, and collaborate with data, IT, and business teams to build robust foundations.

You will guide stakeholders on solution design, drive cost-aware operations, and contribute to governance forums to keep delivery on track in a fast-evolving tech landscape.

Qualifications

• 3 years of professional experience with at least 2 years in DevOps, cloud infrastructure, IT architecture, or a closely related field.
• Solid understanding of AI and ML components, including model serving, data pipelines, vector databases, and orchestration frameworks.
• Proven experience setting architectural standards or reference architectures across multiple teams or projects.
• Experience with major cloud providers (Azure, AWS, or GCP), with a strong preference for Azure and Databricks.
• Proficiency in infrastructure-as-code, CI/CD pipelines, containerisation (Docker, Kubernetes), and monitoring tooling.
• Good understanding of data architecture principles, including data warehousing, data lakes, and governance frameworks.
• Fluency in English.
• Experience in international, consulting, or scale-up environments is a plus.

Responsibilities

• Ensure the technical consistency of AI solutions and their portability across target environments, acting as the custodian of architectural standards and best practices.
• Establish robust data and technology foundations that guarantee scalability, reliability, security, and trust in AI solutions.
• Advise on solution design and target architecture for AI applications, guiding teams towards sound, future-proof technical choices.
• Draft technical specifications, follow up on development progress, and oversee acceptance testing to ensure quality and performance.
• Oversee integration, management, and scaling of AI systems, coordinating between data teams, IT, and business functions.
• Monitor AI infrastructure performance, manage costs, and ensure operational reliability, including model updates and dependencies.
• Participate in governance and technical forums, ensuring architectural decisions are documented and understood.
• Proactively identify technical risks and propose mitigation strategies to protect delivery timelines.

Skills

DevOps

Cloud infrastructure

IT architecture

English fluency

Tools

Docker

Kubernetes

Databricks

Terraform

CI/CD pipelines

Job description

We are Metyis, a forward-thinking, global company that develops and delivers solutions around Big Data, Digital Commerce, Marketing and Design and provides Advisory services. We have offices in 15 locations with a talent pool of 1000+ employees and more than 50 nationalities, dedicated to creating long-lasting impact and growth for our business partners and clients.

Together with HUGO BOSS, our esteemed business partner, we have embarked on a joint venture and created the HUGO BOSS Digital Campus, dedicated to increasing the data analytics, eCommerce and technology capabilities of the company and boosting digital sales. The HUGO BOSS Digital Campus employees will help create a state-of-the-art data architecture infrastructure, advanced business analytics, and the development and enhancement of HUGO BOSS’ eCommerce platform and services.

This collaborative environment will provide the capabilities required for HUGO BOSS to maximise data usage and support its growth trajectory towards becoming the leading premium tech-driven fashion platform worldwide.

What we offer

The opportunity to design and build the technical backbone that powers a large-scale enterprise AI transformation.

A role at the intersection of cloud infrastructure, data engineering, and applied AI, with real architectural ownership.

Regular collaboration with senior technical and business stakeholders across a complex, international organization.

Exposure to a wide variety of AI tools, platforms, and frameworks in a fast-evolving technology landscape.

A dynamic, diverse team environment with strong peer learning and knowledge-sharing culture.

What you will do

Ensure the technical consistency of AI solutions and their portability across target environments, acting as the custodian of architectural standards and best practices.

In collaboration with data, IT, and business stakeholders, establish robust data and technology foundations that guarantee scalability, reliability, security, and trust in AI solutions.

Advise on solution design and target architecture for AI applications, guiding teams towards sound, future-proof technical choices.

Contribute to drafting technical specifications, follow up on development progress, and oversee acceptance testing to ensure solutions meet quality and performance standards.

Oversee the seamless integration, management, and scaling of AI systems, coordinating between data teams, IT, and business functions.

Monitor AI infrastructure performance, manage costs, and ensure operational reliability, including scheduling model updates and managing dependencies.

Participate in, and potentially lead, dedicated project governance and technical forums, ensuring architectural decisions are well-documented and understood.

Proactively identify technical risks and propose mitigation strategies to protect delivery timelines and solution integrity.

What you will bring

3 years of professional experience with at least 2 years of experience in DevOps, cloud infrastructure, IT architecture, or a closely related field, with meaningful hands-on exposure to AI tooling and platforms.

Solid understanding of AI and ML components, including model serving, data pipelines, vector databases, and orchestration frameworks.

Proven experience setting architectural standards or reference architectures across multiple teams or projects.

Experience reviewing, challenging, and approving technical decisions made by other engineers or vendors.

Experience with major cloud providers (Azure, AWS, or GCP), with a strong preference for candidates familiar with Azure and Databricks.

Proficiency in infrastructure-as-code, CI/CD pipelines, containerisation (Docker, Kubernetes), and monitoring tooling.

Good understanding of data architecture principles, including data warehousing, data lakes, and governance frameworks.

Ability to translate technical constraints and risks into clear language for business and project stakeholders.

Strong attention to detail and a systematic approach to quality assurance and testing.

Fluency in English.

Experience in international, consulting, or scale-up environments is a plus.

We are united by our differences

At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.

Recruitment Disclaimer

Metyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @metyis.com, and our Applicant Tracking System (Recruitee). We do not use WhatsApp, social media messaging platforms, or personal accounts for recruitment outreach. If you receive suspicious communication claiming to be from Metyis, please verify the sender and report it through our official website.