AI Lead

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

Resumo da oferta

Metyis in Porto is seeking an experienced AI Principal to lead architectural decisions across cloud infrastructure, data engineering, and applied AI. You will own the technical backbone powering a large-scale AI transformation, with accountability for target architectures and data foundations that ensure scalability, reliability and security.

You will collaborate with data, IT, and business stakeholders across an international organization, guiding solution design while driving governance and

Qualificações

• 5+ years of professional experience in DevOps, cloud infrastructure, IT architecture, or a closely related field with AI tooling exposure.
• Solid understanding of AI/ML components, including model serving and data pipelines.
• Experience setting architectural standards across multiple teams or projects.
• Proven ability to review and approve technical decisions by engineers or vendors.
• Experience with major cloud providers (Azure, AWS, or GCP), with preference for Azure and Databricks.
• Proficiency in infrastructure-as-code, containerisation (Docker, Kubernetes), and monitoring tools.
• Strong data architecture knowledge including data warehousing and governance.
• Ability to translate technical constraints into clear business language; excellent attention to detail.
• Fluency in English; international/consulting experience a plus.

Responsabilidades

• Ensure the technical consistency of AI solutions and portability across environments; custodianship of architectural standards.
• Establish robust data and technology foundations with scalability, reliability, security, and trust in AI solutions.
• Advise on solution design and target architecture for AI applications and future-proof technical choices.
• Draft technical specifications, monitor development progress, and oversee acceptance testing.
• Oversee integration, management, and scaling of AI systems across data, IT, and business teams.
• Monitor AI infrastructure performance, manage costs, and schedule model updates with dependencies.
• Participate in project governance and technical forums; document architectural decisions clearly.
• Identify technical risks and propose mitigations to protect delivery timelines and integrity.

Conhecimentos

DevOps

Cloud infrastructure

IT architecture

AI tooling

Azure

Databricks

Docker

Kubernetes

Data pipelines

Model serving

Vector databases

CI/CD

Data warehousing

Governance frameworks

English fluency

Ferramentas

Docker

Kubernetes

Azure

Databricks

Terraform

CI/CD tools

Descrição da oferta de emprego

Metyis is growing! We are looking for an AI Principal with 5+ years of professional experience (at least 5 years in DevOps, Cloud Infrastructure, IT Architecture) to join our Data and Analytics team in Porto.

Who We Are

The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.

We are Metyis. Partners for Impact.

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

• 5 years of professional experience with at least 5 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.