Job Description:
Essential Skills/Experience
EnterpriseArchitecture experience: proven EA leadership translating concepts into production-ready solutions.
Hands-onAI/ML engineering: building, fine-tuning, and deploying ML/DL models (LLMs,RAG, MLOps) in production.
AI platforms: hands-onwith AWS (Bedrock, SageMaker, Amazon Q), Azure (AzureAI, ML, OpenAI), and Databricks.
Engineering and analytics: strongPython, 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 relatedfield (or equivalent experience).
📌 Artificial intelligence Architect (España)
🏢 Insight International (UK
📍 España
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