DevOps IA & Cloud Engineer H/F

- Design and industrialize the Cloud environments necessary for deploying Copilot Studio agents and LLM models on Azure. - Automate CI/CD pipelines for AI solutions (via Azure DevOps or GitLab CI) to ensure smooth and secure deployments. - Manage the exposure of models and agents via APIs and ensure their integration with containers (Docker) or orchestrators (Kubernetes). - Ensure high availability and resilience of infrastructures supporting AI use cases at Club Med. - Implement real-time monitoring of the performance of Copilot agents and models via Azure Monitor or third-party tools. - Implement specialized logging and tracing solutions for LLMs (like Langfuse) to ensure the quality of interactions and traceability. - Participate in the optimization of models in production, including fine-tuning and managing the versions of prompts and models on Azure. - Orchestrate data flows feeding AI agents in an automated manner (via Opcon or Power Automate). - Use Infrastructure as Code (Terraform) to manage Azure resources (AI Search, App Services, Functions) in a reproducible manner. - Collaborate with Data Engineers to integrate data pipelines (RAG - Retrieval Augmented Generation) with Copilot Studio solutions. - Explore and implement emerging automation tools such as Flowise or N8N to enhance AI workflows. - Conduct active monitoring of developments in Microsoft Copilot Studio and Azure AI services. - Carry out POCs (Proofs of Concept) on new automation methods and model lifecycle management (LLMOps).