About Airwallex
At Airwallex (airwallex.com), we're building the future of global finance on one platform. Founded in 2015 in Melbourne, Airwallex is the leading financial technology platform for modern businesses to grow beyond borders. With one of the world's most powerful payments infrastructure, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all on one single platform.
The Opportunity
The Risk Platform team is the defensive shield for every product at Airwallex. We manage risk across Global Treasury, Card Issuing, Payment Acceptance, and Onboarding. In a world where financial crime is evolving at light speed, we remain at the cutting edge-using Machine Learning (ML), and Large Language Models (LLM) to stop threats in their tracks.
As a Principal Engineer, you will be the primary architect for our real-time detection systems and a champion for our AI initiatives. This is a high-impact role for a technical leader who can bridge the gap between traditional risk modeling and next-generation Agentic AI. You will solve hard problems to ensure a holistic approach for risk management.
What You'll Do:
- Lead the strategy for our mission-critical Risk and Fraud platform, with a focus on leveraging AI to enhance transaction security.
- Design the infrastructure for specialized domain agents and deep research tools that automate complex analysis and risk tracking.
- Define patterns for high availability and resiliency, ensuring our risk product becomes increasingly intelligent through automated model training.
- Remain hands-on where it matters most-drafting Design Docs, reviewing critical system code/APIs, and prototyping complex components like feature stores or real-time stream processors.
- Mentor senior engineers and lead through technical influence, fostering a culture of innovation across algorithm and engineering disciplines.
Minimum Qualifications:
- 10+ years of total software engineering experience, with at least 8+ years focused on back-end development for large-scale distributed systems.
- Expertise in Java & Spring Boot or Python, including deep knowledge of multi-threading, high-concurrency patterns.
- Proven experience building AI-driven risk control systems serving hundreds of millions of users, preferably within a major fintech or payment platform.
- Proven track record in Risk or Fintech, specifically building systems where data integrity and security are non-negotiable.
- Deep expertise in Graph Neural Networks (GNNs), NLP, and Large Language Models, including practical experience with fine-tuning and building autonomous agent frameworks.
- Experienced in mentoring senior engineers and driving technical decisions through influence rather than management.
Good to Have:
- Experience in Quantitative Modeling and applying AI within a fintech or payment platform.
