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

Behind every major disaster, every pandemic, every systemic shock, there is a financial system absorbing the impact. We use AI to strengthen that system. Join our Zurich-based team to design intelligent tools that help the world recover from uncertainty — faster and smarter.

About the Role

As a Senior AI Engineer at Swiss Re, you will take a leading role in designing and delivering advanced AI systems that address complex, real-world challenges in insurance and reinsurance. You will work at the intersection of AI engineering, workflow design, and business problem-solving, partnering closely with domain experts to translate ambiguous, document-heavy processes into robust, scalable AI solutions. Beyond individual contribution, you are expected to act as a force multiplier—shaping how we design systems, structure problems, and scale AI capabilities across the team.

Key Responsibilities:

• Design and implement end-to-end AI systems, from problem framing and data ingestion to deployment, evaluation, and monitoring in production
• Remain actively hands-on in coding, experimentation, and system design
• Architect and develop agentic and workflow-driven AI solutions, integrating LLMs, tools, and structured data across complex business processes
• Translate ambiguous business problems into well-defined, scalable system designs with clear outputs, evaluation criteria, and failure handling
• Lead the development of robust LLM-based applications (e.g., RAG systems, multi-step reasoning pipelines, document understanding systems)
• Stay at the forefront of emerging AI technologies and assess their applicability to reinsurance workflows and products
• Establish and promote best practices in AI engineering, including system design, evaluation frameworks, and MLOps
• Mentor and guide other engineers, contributing to raising the overall technical bar of the team
• Collaborate with data scientists, engineers, and business stakeholders across global teams to deliver impactful AI solutions

About the Team

The Data Science & AI (DS & AI) department is part of Group Data Services. It implements Swiss Re’s Technology Strategy and supports business functions in generating insights and creating data-driven products & solutions, working with both internal partners and external clients globally.

About You

You are an experienced AI engineer who combines strong technical depth with system-level thinking. You are comfortable operating in ambiguous environments and have a track record of turning complex problems into practical, production-ready solutions. You think beyond individual models or tools, focusing instead on end-to-end systems, reliability, and real business impact. You actively stay current with advances in AI and apply them selectively and pragmatically to real-world problems. You are deeply hands-on and enjoy building yourself—prototyping, coding, and iterating on solutions—while also guiding others and setting technical direction.

We are looking for candidates who meet these requirements:

• Advanced degree in computer science, artificial intelligence, machine learning, engineering, or related quantitative field
• 5–8+ years of hands-on experience building and deploying AI/ML systems in production environments
• Proven experience designing and implementing agentic or workflow-based AI systems, beyond simple prototypes or demos
• Strong expertise in modern AI techniques:
  • LLM-based systems (prompt engineering, evaluation, reliability)
  • Retrieval-Augmented Generation (RAG), vector databases, and embeddings
  • Orchestration of multi-step AI pipelines and tool integration
  • Practical understanding of model adaptation and fine-tuning
• Strong software engineering skills:
  • Proficiency in Python
  • Experience with scalable system design, testing, CI/CD, and code quality practices
• Experience with MLOps practices (model lifecycle management, monitoring, evaluation frameworks)
• Ability to structure and decompose complex problems, and communicate solutions clearly to both technical and non-technical stakeholders
• Experience working closely with business stakeholders and translating domain needs into technical solutions
• Experience in leading large, multi-locations delivery squads

Nice to have:

• Experience with the Palantir ecosystem
• Experience in insurance or reinsurance
• Exposure to large-scale, document-heavy or workflow-driven AI use cases

For Switzerland, the base salary range for this position is between CHF 128,000 and CHF 192,000 (for a full-time role). The specific salary offered considers: ​

• the requirements, scope, complexity and responsibilities of the role,​
• the applicant's own profile including education/qualifications, expertise, specialisation, skills and experience.​

In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits.​

Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.