Data Architect APAC

Zurich 56 Company Ltd; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading insurance firm in Singapore is searching for an experienced Data Architect to own the design and delivery of a next-generation GenerativeAI platform. Responsibilities include architecting, coding, and scaling the solution in production. The ideal candidate has over 8 years of experience in building data platforms, strong proficiency in Python, and familiarity with GenAI products. Excellent communication skills are crucial for translating technical concepts to various stakeholders. This role allows for flexible working arrangements.

Qualifications

• 8+ years building data platforms or large-scale distributed systems.
• Strong experience in Python.
• Proven delivery of GenAI / LLM products in production.

Responsibilities

• Own the end-to-end design and delivery of the platform.
• Conduct code reviews and performance tuning.
• Lead multi-component projects and coach engineers.

Skills

Building data platforms

Python

GenAI / LLM products

SQL & NoSQL

Docker

Data governance

Performance monitoring

Excellent communication skills

Tools

Azure

AWS

Terraform

GitHub Actions

Job description

Data Architect, APAC

Who we are

Looking for a career that will excite, challenge and inspire you? Thinking about insurance? Perhaps you should. Working for us is a totally different experience to what you probably expect. How do you feel about the things you truly love? Don’t you want to protect them in the best way possible? Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting they love most. This is no easy task. In today’s interconnected world, tackling risk is fast, unpredictable and invigorating. You’ll have to think on your feet as you manage risks big and small, from flooding to cyber‑crime. You’ll be tackling issues like these in over 170 countries. It’s a big challenge, but you’ll have a truly diverse network helping. As part of an international team, every day would provide opportunities to learn, grow and share ideas.

Our opportunity

We are building the next‑generation GenerativeAI platform solution that will power multiple business lines and connect to upstream and downstream systems.

Your role

As our Data Architect you will own the end‑to‑end design and delivery of this platform—architecting, coding, shipping, and scaling it in production in coordination with our Data Scientists. This is a hands‑on leadership role: we are looking for builders, not slide‑makers.

Shape the overall data & GenAI architecture (batch / streaming pipelines, vector stores, feature stores, LLM‑Ops tooling, API layer).

Select frameworks, storage engines, orchestration tools, and security patterns that will stand the test of scale and time.

Hands‑on Engineering

Conduct code reviews, performance tuning, and zero‑downtime releases.

Run and monitor large‑scale AI workloads in the cloud (Azure/AWS).

Delivery Leadership

Lead multi‑component projects.

Break down epics, estimate effort, and remove blockers for the squad.

Report progress and trade‑offs directly to senior business & tech stakeholders.

Coach engineers on best practices in data engineering, DevOps, and LLM‑Ops.

Skills and Qualifications

As a Data Architect your skills and qualifications will ideally include:

8+ years building data platforms or large‑scale distributed systems, with at least 3 years in cloud‑native AI / ML workloads.

Strong experience in Python.

Proven delivery of GenAI / LLM products in production: RAG pipelines, vector databases (Pinecone, Milvus, FAISS, etc.), LangChain/LlamaIndex/LangChain or equivalent, prompt orchestration, fine‑tuning, and model monitoring.

Mastery of modern data tooling: SQL & NoSQL stores, Docker, Terraform, GitHub Actions/AzureDevOps.

Strong grasp of data governance, security, and privacy for regulated industries (insurance / financial services a plus).

Design and implement systems for managing agent long‑ and short‑term memory, including structured logging of interactions and collection of user feedback, to support continuous learning and performance improvement using technologies such as Azure Redis or PostgreSQL.

Develop and enforce app and user‑level authorization and authentication mechanisms for agent APIs to ensure secure data access and prevent unauthorized exposure across business units.

Track record of sticky retention—you build, iterate, and scale products over several years.

Experience with AI Agents Observability & Performance Monitoring: reporting on key performance metrics to maintain reliability and optimize outcomes.

Excellent communication skills; able to translate architectural trade‑offs to both engineers and executives.

Experience with Model Context Protocol (MCP) workflows, standardization of AI‑driven tool calling and workflows.

Equal Opportunity Employment

Zurich Insurance has the policy to be an equal opportunity employer. We aim to attract and retain the best qualified individuals available, without regard to criteria such as race/ethnicity, national origin, religion, gender, sexual orientation, age or disability.

At Zurich we believe that having a culture of inclusion is essential in delivering good results. Attracting, retaining and developing a diverse workforce where employees feel valued, respected and empowered allows people to reach their full potential. As a business this diversity helps us to better reflect and understand our 4 million customers’ needs to allow us to drive better outcomes. As a global organisation, with an increasingly agile workforce, we’re happy to consider flexible working arrangements.