Senior AI Engineer, Data Analytics

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

The AI team is at the heart of our company’s data and AI strategy. We're building a world-class, customer-facing analytics product that turns data into business impact through AI. As a Senior AI Engineer, you'll build the agent systems at the heart of it — turning natural-language questions into trustworthy, accurate answers over business data that our customers can rely on.

This is a role for someone who pairs deep AI engineering with solid data engineering foundations — comfortable not just building agents, but understanding the data and metrics they reason over and what makes those answers reliable. You'll own meaningful problems end to end and set a high bar for technical quality.

We're committed to building a diverse and inclusive team, and we welcome applicants of all backgrounds. You don't need to meet every qualification to apply — if you're excited about this work and meet the essentials, we'd love to hear from you.

This role is based in Singapore.

• Design, build, and ship AI agent applications and agent harnesses that answer business questions accurately over governed data.

• Build core agent capabilities, including retrieval-augmented generation, natural-language-to-query, and tool or function calling.

• Improve AI output quality through prompt and context engineering, evaluation benchmarks, guardrails, and ongoing quality measurement.

• Partner on governed metrics, data models, and data pipelines so agents can reason over consistent, reliable, and secure business data.

• Apply strong data governance and security practices, including the safe handling of sensitive data, to meet financial-services standards.

• Contribute strong engineering judgment to technical design and review, and help raise the technical bar across the team.

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

• Bachelor’s degree in Computer Science, Mathematics, Finance, or a related field.

• 5+ years of experience building production software, including AI applications, data pipelines, and data models.

• Hands-on experience building and deploying agentic AI applications in production.

• Experience improving AI system accuracy and reliability through evaluation, guardrails, or quality measurement.

• Strong Python, SQL, software engineering, and data modeling fundamentals.

• Track record of shipping reliable AI or data products and turning ambiguous business or product needs into clear technical solutions.

• Experience defining and maintaining semantic layers or metrics layers.

• Experience with data governance, metadata management, and data security.

• Experience with modern cloud data platforms and transformation frameworks such as Databricks, Spark, and dbt.

• Experience building batch or streaming data pipelines using Kafka, Flink, or change-data-capture tooling.

• Experience building secure customer-facing or multi-tenant products, including access control and data isolation.

• Experience with low-latency analytics technologies such as ClickHouse.

• Experience in fintech, payments, or other financial platforms.

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.