You have hands-on experience designing end-to-end AI and data solutions across classical machine learning, Generative AI and Agentic AI.
You bring strong knowledge of secure-by-design principles, security, networking and compliance standards.
You understand data integration, MLOps or LLMOps, and model-serving design patterns.
You have solid knowledge of cloud AI and data services across GCP, AWS or Azure, as well as modern Generative AI tooling.
You have a background in IT infrastructure, networking, identity and automation.
You hold a bachelor’s degree in Computer Science, Engineering or a related subject.
You have 5+ years’ experience in a similar role architecting large-scale data and/or AI platforms.
You have experience working in international, distributed teams and delivering projects across multi-disciplinary areas of differing size and complexity.
Experience with data modelling, data governance, responsible AI principles, RAG or vector-search architectures, agentic frameworks, data streaming, batching, event-driven mechanisms, AI observability, evaluation and monitoring tool stacks would be beneficial.
Experience with GenAI, LLM and data tooling such as vector databases, Kafka and cloud ML platforms would be beneficial.