Descripción del trabajo

AI Architect Job Description: Essential Skills/Experience Enterprise Architecture experience: proven EA leadership translating concepts into production-ready solutions. 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 understanding. 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). Desirable Skills/Experience - Postgraduate degree in MIS, AI, data science, or a related field. Desirable Skills/Experience - Recognised thought leader in applying AI within the enterprise and across the industry. Desirable Skills/Experience - Extensive senior AI, data science, data engineering, and AI architecture experience delivering large-scale blueprints. Desirable Skills/Experience - Hands-on building AI models, including LLMs and LVMs, across diverse data types.

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📌 Enterprise Architect - Data (Madrid)
🏢 Virtusa
📍 Madrid