AI Architect
metyisag · Porto, Porto, Portugal ·
- Work mode
- Hybrid
- Category
- Architecture
- Experience
- 2+ years
metyisag · Porto, Porto, Portugal ·
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Designs and safeguards the architecture of enterprise-scale AI solutions — spanning cloud infrastructure, data pipelines, and model serving — while setting architectural standards, reviewing technical decisions, and overseeing delivery. Core stack includes major clouds (Azure/Databricks preferred), Docker, Kubernetes, IaC, and CI/CD.
Metyis is growing! We are looking for an AI Architect with 3+ years of professional experience to join our Data and Analytics team in Porto.
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.
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.
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.
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.
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.
Metyis only contacts candidates through verified and official channels: LinkedIn (official and verified recruiter profiles), emails ending in @, 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.
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