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Zurich Insurance Group · Singapore, SG

# AI Engineering Intern

Singapore, SG Early career Operations 

Listed on Zurich Insurance Group’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Zurich Insurance Group’s careers site →](https://www.careers.zurich.com/job/Singapore-AI-Engineering-Intern/1373028057/)

[OpenNash Jobs](https://jobs.opennash.com/) / [Zurich Insurance Group](https://jobs.opennash.com/companies/zurich-insurance-group/) / AI Engineering Intern

## Job description

### 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

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: Singapore, SG[Apply on Zurich Insurance Group’s careers site →](https://www.careers.zurich.com/job/Singapore-AI-Engineering-Intern/1373028057/)

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