Senior AI Engineer (Hybrid; m/f/x/d; 80-100%)

About the Role:

A Senior AI Engineer role involving design and delivery of advanced AI systems addressing complex challenges in insurance and reinsurance. The position emphasizes end-to-end AI systems, from problem framing and data ingestion to deployment, while maintaining hands-on involvement in coding and experimentation. Key responsibilities include architecting agentic and workflow-driven solutions, translating business problems into scalable designs, developing LLM applications, establishing best practices, and mentoring team members.

Key Responsibilities:

• Design and implement end-to-end AI systems with production deployment and monitoring
• Remain actively hands-on in coding and experimentation
• Architect agentic and workflow-driven AI solutions integrating LLMs, tools, and structured data across complex business processes
• Translate ambiguous business problems into well-defined system designs
• Develop robust LLM applications including RAG systems, multi-step reasoning pipelines, and document understanding systems
• Stay current with emerging AI technologies
• Establish AI engineering best practices
• Mentor engineers and collaborate across global teams

Required Qualifications:

• Advanced degree in computer science, AI, machine learning, engineering, or related field
• 5-8+ years hands-on experience building and deploying AI/ML systems in production
• Proven experience designing agentic or workflow-based AI systems
• Expertise in LLM-based systems and prompt engineering
• Retrieval-Augmented Generation (RAG) experience
• Vector databases and embeddings experience
• Multi-step AI pipeline orchestration experience
• Model fine-tuning and adaptation experience
• Strong Python proficiency and software engineering skills (scalable design, testing, CI/CD)
• MLOps experience including model lifecycle management and evaluation frameworks
• Problem decomposition and stakeholder communication abilities
• Experience leading large, multi-location delivery teams

Nice-to-Have Skills:

• Palantir ecosystem experience
• Insurance or reinsurance background
• Document-heavy or workflow-driven AI use case exposure

Team Context:

The Data Science & AI department operates within Group Data Services, implementing Swiss Re's Technology Strategy and supporting business functions globally.

About Swiss Re:

Swiss Re is a major reinsurance and insurance provider working on risk resilience. The organization employs over 15,000 people worldwide and emphasizes inclusive, flexible workplace culture supporting professional development.

Location: Zurich, Switzerland (Hybrid, 80-100%).

Salary: CHF 128,000-CHF 192,000 base (full-time equivalent), plus variable performance-based compensation.