AI Architect

Metyis is growing! We are looking for an AI Architect with 3-5 years of experience for a full-time position to join our Data & Analytics team in Amsterdam.

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.

What we offer

• The opportunity to contribute to the technical foundation of large-scale enterprise AI and data transformation initiatives.
• A role at the intersection of cloud infrastructure, data engineering, and applied AI, with opportunities to develop your technical expertise.
• Regular collaboration with experienced technical and business stakeholders across a complex, international organization.
• Exposure to a wide variety of AI tools, cloud 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

• Contribute to the design and implementation of scalable, reliable, and secure technical foundations for AI solutions.
• Work closely with data, IT, and business stakeholders to understand technical requirements and translate them into effective solutions.
• Support the design and implementation of AI applications, data pipelines, and cloud-based solutions, following established architectural principles and best practices.
• Contribute to technical specifications and documentation, follow up on development activities, and support testing and acceptance activities.
• Support the integration, deployment, and scaling of AI systems across relevant technology environments.
• Monitor the performance, reliability, and cost of AI infrastructure and applications, identifying issues and supporting their resolution.
• Participate in technical discussions and project governance forums, clearly communicating technical topics, progress, and potential risks.
• Identify technical challenges and risks during delivery and work with senior team members to develop appropriate solutions and mitigation strategies.
• Continuously develop knowledge of emerging AI, cloud, data, and infrastructure technologies and share relevant learnings with the wider team.

What you will bring

• 3–5 years of professional experience in DevOps, cloud infrastructure, data engineering, IT architecture, or a closely related field, with exposure to AI/ML technologies and platforms.
• Good understanding of AI and ML components, such as model serving, data pipelines, vector databases, APIs, and orchestration frameworks.
• Hands-on experience working with at least one major cloud provider (Azure, AWS, or GCP), with experience in Azure and/or Databricks being a plus.
• Practical experience with infrastructure-as-code, CI/CD pipelines, containerisation (Docker and/or Kubernetes), and monitoring tools.
• Understanding of data architecture concepts, including data warehouses, data lakes, data pipelines, and data governance.
• Experience contributing to the design, development, deployment, or integration of cloud-based AI and data solutions.
• Ability to troubleshoot technical issues and work systematically to ensure solution quality, reliability, and performance.
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
• Comfortable working collaboratively in multidisciplinary teams and taking ownership of assigned deliverables.
• Strong attention to detail and a structured approach to problem-solving and delivery.
• Fluency in English.
• Experience in international, consulting, or scale-up environments is a plus.