AI Architect

Job Description:

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.
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 large-scale blueprints.
Hands-on building AI models, including LLMs and LVMs, across diverse data types

📌 Enterprise Architect (Madrid)
🏢 Virtusa
📍 Madrid