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# Senior AI Platform Engineer/AI Architect - Microsoft Technologies (relocation to the Netherlands)

- **Company:** Solicitante De Empleo
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Engineering, Code Review, Continuous Integration, Microsoft Software, Search Technologies, GitHub Copilot, Build Management, AI Platforms, Cosmos DB, Software Coding, Api Management, Key Vault
- **Published:** August 18, 2026
- **Apply:** https://www.recruit.net/job/ai-platform-engineer-ai-architect-jobs/0C592FAE9075E6C2

## About the Role

* senior level experience in cloud-native engineering with a focus on AI platforms
 * deep experience with GenAI, RAG, agents, GitHub Copilot, AI gateways
 * hands-on coding, IaC, CI/CD, test automation, observability, and production readiness
 * experience delivering AI-native workflows and enterprise-scale AI transformations
 * strong collaboration with cross-functional teams and stakeholders

## Description

In this role, you will design and deliver production-grade AI systems on Microsoft Azure, enabling engineering teams to adopt AI-native software practices. You will work hands-on across IaC, CI/CD, observability, and operation at scale, focusing on GenAI, RAG, and agent-based workflows. You'll collaborate with architects, engineers, and client teams to drive enterprise AI transformation, balancing speed with production discipline. A meaningful hook is shaping reusable platform elements and governance for enterprise AI delivery.
Compensaciones / Beneficios

 * Design and build production-grade AI systems on Azure for enterprise use
 * Implement Azure AI solutions using Foundry, OpenAI, AI Search, Functions, API Management, AKS, Container Apps, Key Vault, Cosmos DB
 * Develop RAG pipelines, AI assistants, agent workflows, AI gateway components and MCP-based integrations
 * Create CI/CD pipelines, IaC automation, observability stacks, and deployment frameworks for AI workloads
 * Develop reusable templates, reference implementations, and onboarding kits for client teams
 * Own implementation workstreams such as retrieval, orchestration, AI gateways or Copilot enablement
 * Mentor engineers, review code, and support AI-assisted engineering adoption decisions
 * Ensure security, governance, telemetry, cost tracking, and human approval gates in AI delivery pipelines
 * Collaborate with architects, engineers, and client delivery teams to enable enterprise xqbhyrx AI delivery and governance
Responsabilidades


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