AI Principal

Metyis is growing! We are looking for an AI Principal with 8+ 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 8…