Technical Architect (Advanced Analytics) (m/f/d)*
The department 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 sub department is responsible for Munich Re’s “Big Data and Analytics Platform” and specific data and AI based solutions. 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).
Responsibilities:
* Designing, developing, and implementing scalable and secure cloud-based architecture for a Data & AI platform, ensuring high availability, performance, and maintainability (Cloud technologies, Databricks, Kubernetes, etc.)
* Designing and optimizing cloud infrastructure (Azure) to support data storage and process ML and AI/GenAI workloads
* Implementing continuous integration and continuous deployment (CI/CD) pipelines for efficient and automated model deployment and updates
* Ensuring that platform architecture complies with industry standards and regulations and integrates best practices for data privacy and security
* Working closely with development teams, business stakeholders, and other architects to ensure seamless integration of data, AI, and cloud services into the overall Munich Re application landscape
* Maintaining comprehensive architecture documentation, including design patterns, best practices, and cloud service configurations
* Staying ahead of industry trends and evaluating new technologies and solutions to continuously improve the platform’s capabilities, security, and efficiency
Your profile:
* University degree in Computer Science, Artificial Intelligence, Data Science or a related field
* Several years of experience in IT architecture with focus on data solutions and AI technologies
* Proven experience with cloud platforms (Azure, AWS, Google Cloud) and familiarity with services like data lakes, cloud storage, containerization, and orchestration (Kubernetes); experience with serverless architectures is a plus
* Deep understanding of cloud security principles, encryption, access control, and regulatory compliance requirements
* Solid understanding of CI/CD and DevOps practices
* Proficiency in Python, with experience in AI/ML libraries (e.g., Hugging Face, OpenAI, LangChain)
* Familiarity with core LLM techniques like Retrieval-Augmented Generation (RAG), AI databases, etc.
* Excellent stakeholder management and communication skills, with the ability to collaborate effectively with cross-functional teams
* Fluent spoken and written business English
Application Instructions:
Please apply through our online portal and upload your CV, academic reference letters, including school certificates, graduation certificates, and transcripts of record for any degrees. If applicable, please also submit reference letters from any previous employers or certificates from any other qualifications you may have. We recommend writing a cover letter to tell us more about why the position and Munich Re is of interest to you.
About us:
As 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 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.
Unlock your potential:
* Diversity, 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 & Recognition:
* Competitive 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 equal opportunities employer. Severely disabled candidates will also be prioritized, if equally qualified.
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