- - 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, SageMaker, Amazon Q), Azure (Azure AI, ML, OpenAI), and Databricks.
- - Engineering and analytics: strong Python, TensorFlow/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 (España)
🏢 Virtusa
📍 España