> Markdown version of [/jobs/ext/2145712-enterprise-architect](https://www.wearedevelopers.com/jobs/ext/2145712-enterprise-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Enterprise Architect

- **Company:** Jobrapido
- **Location:** León, 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 20, 2026
- **Apply:** https://www.buscojobs.com.es/enterprise-architect-en-leon-ID-367964616

## About the Role

AI ArchitectLea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren.Job 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.
xqbhyrx - 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 ArchitectLea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren.Job 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.xqbhyrx - 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

- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)
- [Architecting the Future: Leveraging AI, Cloud, and Data for Business Success](https://www.wearedevelopers.com/videos/1096-architecting-the-future-leveraging-ai-cloud-and-data-for-business-success)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)