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# AI Security Engineer

- **Company:** ESML SD Iberia Holding S A U
- **Location:** Pozuelo de Alarcón, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Cyber Security, Identity and Access Management, Python (Programming Language), Software Engineering, Microsoft Power Automate, Large Language Models, IT Architecture, Build Management, AI Platforms, GPT
- **Published:** July 4, 2026
- **Apply:** https://es.indeed.com/viewjob?jk=81dcfc0cb0d04ffc

## About the Role

* At least 2 years of hands-on experience working with AI technologies, LLMs, AI agents, RAG applications, or GenAI solutions.
 * Previous experience in one or more of the following areas: Cybersecurity, Software Engineering, Cloud Engineering, Data Science, or IT Architecture.
 * Experience building and deploying AI applications in enterprise environments.
 * Good understanding of security concepts such as identity and access management, data protection, DLP, security monitoring, and governance.
 * Experience with Python.
 * Familiarity with platforms such as AWS Bedrock, Azure AI Foundry, OpenAI, Claude, or Copilot Studio.
 * Fluent in both English and Spanish

## Description

This is a unique opportunity to join a newly established AI Security function and play a key role in shaping how AI is adopted across an international technology-driven organization. You'll work at the intersection of Artificial Intelligence, Cybersecurity, and Innovation, partnering with teams across Europe to secure AI solutions, build AI-powered security capabilities, and define the standards that will guide our AI future.

What you'll do

 * Assess and secure AI initiatives from concept through production.
 * Advise teams on secure AI architecture and implementation practices.
 * Govern enterprise AI platforms including ChatGPT Enterprise, Microsoft Copilot, Claude, and Gemini.
 * Design and build AI-powered security solutions and agents.
 * Drive AI governance, risk management, and security controls across the AI lifecycle.
 * Help define the security standards, frameworks, and guardrails for AI adoption across the organization.


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