AI Engineer (Hybrid; m/f/x/d; 80-100%), Zurich (Zurich, CH)
Role overview
As an AI Engineer at Swiss Re, you'll be at the forefront of developing transformative AI solutions that reshape how we approach complex insurance and reinsurance challenges. You'll collaborate with a diverse, global team across multiple locations including Armonk NY, Zurich, Bangalore, Singapore, Beijing, and Hong Kong, working directly with business experts and external clients to create AI-powered services that drive real business value.
Responsibilities
- check_circle Design and develop sophisticated AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and other generative AI applications
- check_circle Engineer and optimize prompts for various business use cases, ensuring reliability, accuracy, and performance of AI systems
- check_circle Build end-to-end AI pipelines from data ingestion to model deployment and monitoring in production environments
- check_circle Collaborate with data scientists, software engineers, and business stakeholders to translate business requirements into scalable AI solutions
- check_circle Implement MLOps best practices including model versioning, A/B testing, and continuous integration/deployment for AI systems
- check_circle Stay current with emerging technologies and assess their applicability to insurance and reinsurance business problems
- check_circle Build and foster relationships with business leaders and clients to understand their needs and become a trusted partner in AI innovation
Preferred qualifications
- Experience with Palantir ecosystem
- Specific experience in the insurance industry
- the requirements, scope, complexity and responsibilities of the role,
- the applicant's own profile including education/qualifications, expertise, specialisation, skills and experience.
About the company
The Data Science & AI (DS & AI) department is part of the Group Data Services. The DS & AI department implements Swiss Re's Technology Strategy and supports its business functions in generating insights and creating data-driven products & solutions, working with both internal business partners and directly with external insurance and corporate clients.