AI Engineering Intern

Who We Are

150+ years of trust. A team that’s rebuilding what’s possible.

Zurich is one of the world's leading multi-line insurers, serving people and businesses across more than 200 countries and territories for over 150+ years. We protect communities against some of the most complex and fast-moving risks of our time: climate change reshaping entire economies, and technology fundamentally altering how people live and work.

In APAC, our regional AI team sits at the heart of that transformation. We're a small, ambitious group embedded within a global institution. The tools we build reach millions of customers, get stress-tested against real data, and have to work. We collaborate directly with business stakeholders to take ideas from whiteboard to production, building AI solutions that make a measurable impact.

We're determined to shape a future where communities stay resilient, and we believe AI, built responsibly and engineered well, is a big part of how we get there.

The Role

Your code will reach real users, on day one.

• Design and build agentic AI systems that handle multi-step reasoning, tool use, and autonomous decision-making across real business workflows
• Develop AI-powered applications using large language models, including prompt engineering and RAG pipelines
• Build and deploy AI-driven solutions using a mix of frameworks and approaches including FastAPI, Celery, and other task orchestration patterns, containerized with Docker and shipped via GitHub Actions
• Integrate agents with structured and unstructured data sources, equipping them with the right tools, memory, and retrieval layers to operate reliably
• Collaborate with business stakeholders to map existing workflows and re-engineer them as agentic solutions that reduce manual effort and surface better decisions
• Architect and scale solutions on Azure for production use
• Monitor, evaluate, and iterate on deployed AI systems, treating observability as a first-class concern

What we’re looking for

Skills & Experience

Ongoing or completed bachelor's or master's degree in Computer Science, Mathematics, Data Science, or a related field. We care most about your ability to drive solutions from idea to delivery - the rest we can work with.

Core Skills

• Python
• LLMs
• Data Science
• Data Wrangling
• Business Communication

Nice to have (and skills you can expect to develop in this role)

• Azure
• GitHub CI/CD
• Context Engineering
• Solution Architecture
• Projects that delivered measurable value are a big plus - bring something you can walk through end to end
• Experience handling both structured and unstructured data (SQL, NoSQL, free text, images, web data)
• Familiarity with agent engineering patterns: tool use, memory, multi-agent orchestration, and evaluation

What you will gain

More than a line in your resume

• Production impact - Your code reaches real customers across APAC markets, running in production from day one
• Agentic AI at scale - Build multi-step reasoning systems and GenAI pipelines that run against real business problems
• Enterprise cloud - Hands-on Azure at scale, with real compliance constraints that teach you things a side project never will
• Direct stakeholder access - You'll sit in on real business conversations and shape solutions from the start