We are hiring a senior Azure AI Engineer / Azure ML Engineer (m/f/d) for a long-term enterprise AI programme focused on Large Language Models (LLMs), Conversational AI, Retrieval-Augmented Generation (RAG), and AI agent / multi-agent systems on Microsoft Azure.This Azure AI / ML Engineer role in Vienna (hybrid) offers the opportunity to design, implement, and operate production-grade Generative AI solutions within a stable, multi-year environment. You will work across architecture, development, deployment, and operational handover in close collaboration with business and IT stakeholders.Location: Vienna, Austria (Hybrid – approx. 40% on-site, 60% remote)Start: March / April 2026Duration: 3 years (extension possible up to 5 years)Workload: Full-time (100%)Language: English or GermanKey Responsibilities – Azure AI / ML EngineerDesign, develop, and deploy LLM-based Conversational AI solutions on Microsoft AzureBuild and orchestrate AI agents and multi-agent systems for enterprise use casesImplement Retrieval-Augmented Generation (RAG) architecturesIntegrate and apply Model Context Protocols (MCPs)Analyse and translate business requirements into scalable AI and cloud architecturesDeliver solutions using agile methodologiesIntegrate, harmonise, and manage internal and external data sourcesSupport rollout, production operation, monitoring, and optimisationHandover solutions to internal teams, including documentation and knowledge transferEnsure scalability, security, maintainability, and high availability of Azure AI solutionsRequired Skills – Azure AI Engineer / Azure ML EngineerStrong hands-on experience with Large Language Models (LLMs) and Conversational AIProven experience with RAG (Retrieval-Augmented Generation) solutionsExperience designing and implementing AI agents and multi-agent systemsExperience with Model Context Protocols (MCPs)Strong expertise in Microsoft Azure, including:Azure Machine LearningAzure Cognitive ServicesMicrosoft FoundryDevelopment experience with C# / .NET and PythonExperience with DevOps, CI/CD pipelines, and automationHands-on experience with Docker and Azure Kubernetes Service (AKS)Experience with Infrastructure as Code (IaC)Experience working with business stakeholders and technical teamsNice to Have (SEO-Relevant Plus Skills)Experience with Azure API ManagementMonitoring and logging using Azure Monitor and Log AnalyticsData governance experience with Microsoft PurviewExperience with Confluence and JIRAIndustry background in the energy sector or public sectorWhy This Azure AI Engineer Role?Long-term, stable enterprise Azure AI programmeHands-on work with Generative AI, LLMs, Conversational AI, and RAGHybrid working model in Vienna, AustriaHigh technical ownership and architectural responsibilityInternational environment with English or German as project languageKarrierestufe Management Beschäftigungsverhältnis Vollzeit Tätigkeitsbereich Unternehmensberatung Branchen IT-Dienstleistungen und IT-Beratung