AI Architect
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 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.
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