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# Enterprise Architect - Virtusa

- **Company:** Virtusa
- **Location:** Marbella, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, 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 16, 2026
- **Apply:** https://www.buscojobs.com.es/enterprise-architect-virtusa-en-marbella-ID-367550403

## About the Role

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

## Description

AI ArchitectJob 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


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