Airwallex
Lead AI Engineer
- Employment type
- Full-time
- Workplace type
- On-site
- Location
- SG - Singapore
- Published
- Aug 26, 2026
- Last checked
- Oct 26, 2026
About this role
ABOUT AIRWALLEX
Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.
We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.
We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles https://www.airwallex.com/en-us/operating-principles to see it in full.
HOW YOU'LL MAKE IMPACT
You’ll lead the technical design, execution, and people leadership for Kai, Airwallex’s AI assistant for complex financial work. You’ll turn rapidly evolving LLM and agent capabilities into reliable, observable, and safe production systems that understand intent, retrieve business context, reason over products and data, and take appropriate actions.
You’ll set the technical direction for agent orchestration, context and retrieval, tool integrations, identity and access control, observability, evaluation, and responsible action-taking, while balancing quality, latency, reliability, cost, security, and time to market.
You’ll work closely with Product, Design, Data, Security, Infrastructure, and domain teams to deliver trusted AI products and reusable platforms that can scale across Airwallex.
You’ll manage, coach, and develop AI, backend, and frontend engineers, set clear expectations, and raise the engineering bar through hiring, feedback, and technical mentorship.