Enterprise Architecture experience: proven EA leadership translating concepts into

- Hands-on AI/ML engineering: building, fine-tuning, and deploying ML/DL models (LLMs, RAG, MLOps) in production.
- AI platforms: hands-on with AWS (Bedrock, Sage Maker, Amazon Q), Azure (Azure AI, ML, OpenAI), and Databricks.
- Engineering and analytics: strong Python, Tensor Flow/PyTorch, containers, Kubernetes, and CI/CD for hybrid cloud.
- Data modelling and governance: conceptual/logical modelling and governance standards in regulated environments.
- Architecture judgement: select fit-for-purpose AI architecture per use case, with full-lifecycle
- Leadership: lead a small team of AI architects and help shape enterprise AI strategy and direction.
- Degree in data science, AI engineering, or a related field (or equivalent experience).
- Postgraduate degree in MIS, AI, data science, or a related field.
- Recognised thought leader in applying AI within the enterprise and across the industry.
- Extensive senior AI, data science, data engineering, and AI architecture experience delivering
- Hands-on building AI models, including LLMs and LVMs, across diverse data types

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📌 Artificial Intelligence Consultant (Madrid)
🏢 Virtusa
📍 Madrid