Technical Architect (Advanced Analytics) (m/f/d)*The IT Tower "Business Technology" is responsible for successfully designing, building, consulting, and managing IT solutions in close cooperation with the business units and departments, and central divisions in Munich Re (Group), as well as with other IT units.Our section is responsible for Munich Re’s “Big Data and Analytics Platform”, and specific data and AI based solutions. As well as the successful implementation and operational transfer of specific use cases, its areas of responsibility include the underlying Azure based Big Data & Analytics Platform and the execution of consulting tasks. It also interfaces closely with our different reinsurance units globally and at group level (particularly ERGO, MEAG).We are seeking a highly skilled and motivated LLMOps/MLOps Architect to join our team. As an LLMOps/MLOps Architect, you will play a critical role in designing and implementing robust and scalable machine learning operations (MLOps) solutions. You work closely with data scientists, software engineers and other stakeholders to ensure efficient and effective development, deployment and management of machine learning in our production environment. This is a hands-on technical role thatrequires deep understanding of LLMOps/MLOps best practices and lifecycle, Databricks, Azure cloud services and proactive and efficient stakeholder management.Your JobDesigning, developing, and implementing scalable and secure cloud-based architecture for an Agentic AI platform, ensuring high availability, performance, and maintainability (Cloud technologies, Databricks, Kubernetes, etc.)Ensuring a high level of performance, security, scalability, appropriate reusability and reliability with your solution designEstablishing an AI/MLOps lifecycle by enforcing best practices for experimentation, feature engineering, model development, model evaluation, versioning, model deployment, monitoring as well as AI GovernanceCollaborating with stakeholders to define and track key performance indicators (KPIs) and develop monitoring and alerting systems to ensure the quality and reliability of deployed modelsEnsuring that platform architecture complies with industry standards and regulations and integrates best practices for data privacy and securityCollaborating with data scientists, software engineers and other stakeholders to understand their requirements and translate into scalable and reliable MLOps solutionsStaying up to date with the latest advancements in AI, LLMOps/MLOps technologies and methodologies and provide recommendations for process improvementsMaintain comprehensive architecture documentation, including design patterns, best practices, and cloud service configurationsYour ProfileUniversity degree in Computer Science, Artificial Intelligence, Data Science or a related fieldExtensive experience in designing and implementing AI & LLMOps/MLOps solutions in an Azure cloud environmentSolid understanding of MLOps/LLMOps practices and lifecycleFamiliarity with core LLM techniques like Retrieval-Augmented Generation (RAG), AI databases, MCP, etc.Proven experience with Databricks and cloud platforms (Azure, AWS, Google Cloud) and familiarity with services like data lakes, cloud storage, containerization, and orchestration (Kubernetes); experience with serverless architecture is a plusProficiency in Python, with experience in AI/ML libraries (e.g., mlflow, OpenAI, Langchain)Several years of experience in data and AI solution architectureProven experience with cloud platforms (Azure, AWS, Google Cloud) and familiarity with services like data lakes, cloud storage, containerization, and orchestration (Kubernetes); experience with serverless architecture is a plusDeep understanding of cloud security principles, encryption, access control, and regulatory compliance requirementsExcellent stakeholder management and communication skills, with the ability to collaborate effectively with cross-functional teamsFluent spoken and written business EnglishApplication InstructionsIn order to consider your application, we require your application to be submitted via our online applicant portal. In addition to uploading your CV, we recommend writing a cover letter to tell us more about why the position is of interest to you.About usAs the world's leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation.Sounds like you? Push boundaries with us and be part of Munich Re.Our employees are our greatest strength. That’s why we offer them a wide range of benefits. You can find some examples below.Unlock your potentialDiversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better.Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you.Rewards & RecognitionCompetitive salary: appropriate compensation for your high level of commitment.Retirement provision: state of the art in-house pension solutions.Work-life balance: promoting the compatibility of family and work in addition to overall work-life balance.Health management: focus on your physical and mental health far beyond legal requirements.Hybrid working: living the best of both worlds – we offer you a very flexible approach as well as the opportunity to work from abroad on an occasional basis.* Munich Re not only stands for fairness with regard to its clients; it is also an equalopportunities employer. Severely disabled candidates will also be prioritized, if equally qualified. #J-18808-Ljbffr