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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Consultant - **Company:** Virtusa - **Location:** Gijón, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Engineering, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Pytorch, Large Language Models, IT Architecture, HybridCloud, AI Platforms, Kubernetes, Machine Learning Operations, Databricks - **Published:** August 19, 2026 - **Apply:** https://www.buscojobs.com.es/artificial-intelligence-consultant-en-gijon-ID-367884709 ## About the Role AI ArchitectCandidate rate: perm only 63KJob Description:Essential Skills/Experience- Enterprise Architecture experience: proven EA leadership translating concepts intoproduction-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, andCI/CD for hybrid cloud. - Data modelling and governance: conceptual/logical modelling and governance standards inregulated environments. - Architecture judgement: select fit-for-purpose AI architecture per use case, with full-lifecycleunderstanding. - Leadership: lead a small team of AI architects and help shape enterprise AI strategy anddirection. - 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 deliveringlarge-scale blueprints. - Hands-on building AI models, including LLMs and LVMs, across diverse data types ## Description AI ArchitectCandidate rate: perm only 63KJob Description:Essential Skills/Experience- Enterprise Architecture experience: proven EA leadership translating concepts intoproduction-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, andCI/CD for hybrid cloud.- Data modelling and governance: conceptual/logical modelling and governance standards inregulated environments.- Architecture judgement: select fit-for-purpose AI architecture per use case, with full-lifecycleunderstanding.- Leadership: lead a small team of AI architects and help shape enterprise AI strategy anddirection.- 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 deliveringlarge-scale blueprints.- Hands-on building AI models, including LLMs and LVMs, across diverse data types ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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