AI and ML Engineer - Insurance (m/f/d)*

The Risk Intelligence and Knowledge Systems (RIKS) unit is part of Life & Health division, which serves as a regional analytics centre for Europe, UK and Latin Americas. The department is responsible for AI strategy development and execution, biometrics insights and knowledge modelling for more than 40 markets, for 500+ cedents, and 1,500+ active reinsurance contracts. We strategically invest in scalable, easy-to-use data and knowledge technologies to create and operationalize high quality products and services using structured and unstructured data, serving both internal and external clients. We believe that better data and advanced analytics can strengthen our reinsurance core and service business and will be the foundation for the business models of tomorrow.

Do you want to play a key role in shaping the future of our team? Are you the next AI business systems champion who changes the game for us? We are looking for a motivated individual to join our team as AI and ML Engineer. You will drive the development, deployment, and industrialization of AI/ML solutions including generative AI, agentic systems, and predictive models, with a focus on production-ready implementations that deliver tangible business value to our Life & Health division. 

Join our team of industry experts and contribute your AI/ML expertise to make a significant impact on the life and health reinsurance sector.

Your Job

• Lead the design, development, and operationalization of AI/ML solutions including generative AI applications, multi-agent systems, and predictive models for underwriting, pricing, claims, and biometrics use cases.
• Build end-to-end MLOps pipelines covering model training, validation, deployment, monitoring, and retraining; establish best practices for model governance, versioning, and performance tracking in production environments.
• Develop and deploy agentic AI systems and LLM-based applications that augment decision-making across underwriting, medical assessment, and analytics workflows; implement prompt engineering, RAG architectures, and tool-use patterns.
• Partner with data engineers and architects to design feature stores, data pipelines, and infrastructure supporting real-time and batch AI/ML workloads at scale.
• Translate business requirements from pricing, underwriting, medical, and claims teams into production-grade AI solutions; ensure models are interpretable, auditable, and compliant with regulatory standards.
• Establish monitoring frameworks for model drift, data quality, and system performance; implement automated alerting and remediation strategies for production AI systems.
• Drive automation and reusability in AI/ML workflows, creating standardized frameworks, templates, and tooling that accelerate solution delivery across teams.
• Collaborate with knowledge engineering and ontology teams to enhance AI systems with structured knowledge representations and domain-specific reasoning capabilities.
• Stay current with emerging AI/ML technologies and evaluate their applicability to reinsurance challenges; lead proof-of-concepts and pilot implementations for promising innovations.
• Contribute to AI strategy development and roadmap planning, identifying opportunities to leverage AI/ML for competitive advantage and operational efficiency.

Your Profile

• Strong understanding of (re)insurance business, with demonstrated experience delivering AI/ML projects in insurance, financial services, or comparable regulated industries
• Advanced degree in computer science, data science, mathematics, engineering, or similar
• Several years of hands-on experience building and operationalizing AI/ML systems in production environments, ideally in Life & Health insurance or reinsurance
• Deep expertise in generative AI, LLMs, and agentic systems (prompt engineering, RAG, fine-tuning, tool use, multi-agent orchestration)
• Proven track record in MLOps, including model deployment, monitoring, CI/CD for ML, and production system maintenance
• Proficient in Python with extensive experience in ML frameworks (scikit-learn, PyTorch, TensorFlow, Transformers, LangChain/LlamaIndex)
• Strong knowledge of Databricks (MLflow, AutoML, Feature Store), Azure ML, or comparable enterprise ML platforms
• Experience with cloud AI services (Azure OpenAI, AWS Bedrock, or similar) and containerization (Docker, Kubernetes)
• Solid understanding of ETL/ELT pipelines, data engineering, SQL, and distributed computing (Spark)
• Skilled in model interpretability, fairness, and regulatory compliance considerations for AI systems
• Highly motivated, responsible, and able to work independently while collaborating across technical and business teams
• Familiar with data privacy, AI ethics, and regulatory frameworks in (re)insurance
• Creative problem-solver with entrepreneurial mindset and passion for turning AI research into business impact
• Fluent in English (written and spoken)

Application Instructions

Please apply through our online portal and upload your CV, as well as your 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 16,000 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 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.

Münchener Rückversicherungs-Gesellschaft
Lisa Schneider 
Talent Acquisition Partner