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Engineering Manager, AI Platform Job Opening In Singapore, Singapore – Now Hiring Airwallex


Job description

Seniority level: Director
Employment type: Full-time
Job function: Engineering and Information Technology
Referrals increase your chances of interviewing at Airwallex by 2x
About Airwallex
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 150,000 businesses worldwide—including Brex, Rippling, Navan, Qantas, SHEIN and many more—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 more than 1,800 bright and innovative people across 26 offices worldwide.

Valued at US$6.2 billion and backed by world‐leading investors, Airwallex is building the future of global banking.


Attributes We Value
We hire builders with founder‐like energy who want real impact, accelerated learning, and true ownership.

You are motivated by our mission, move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You’re humble and collaborative, turning zero‐to‐one ideas into real products, getting stuff done end‐to‐end, and using AI to work smarter and solve problems faster.


About The Team
We are seeking a highly skilled and motivated Engineering Manager to lead our AI Platform team.

The AI team’s purpose is to make Airwallex an AI‐driven company by leveraging cutting‐edge AI and machine‐learning technologies to drive innovation, improve operational efficiency, and enhance customer experience.


What You’ll Do
Develop and execute the strategy for the AI team, aligning the technical direction and roadmap with Airwallex’s business objectives.


Build, mentor, and lead a high‐performing team of software engineers and AI specialists, fostering a culture of collaboration, creativity, and technical excellence.


Partner closely with Product, Design, and Operations to define the roadmap, prioritize a measurable backlog, and deliver high‐impact AI solutions.


Own the architecture and system quality across our AI services, providing deep technical guidance on model development, deployment, and maintenance.


Remain hands‐on where it matters most, guiding architectural designs, reviewing critical models and APIs, and de‐risking complex initiatives.


Champion best practices for the entire AI lifecycle, including prompt‐tuning, context engineering, fine‐tuning, annotations, and human‐in‐the‐loop feedback.


Own the operational health of our production AI systems, including on‐call readiness, model monitoring, incident response, post‐mortems, and continuous reliability improvements.


Lead the talent strategy for your organization—recruit, onboard, and develop top‐tier engineers and managers, building a diverse team and robust succession plans.


Effectively communicate progress, insights, and the business impact of AI initiatives to executive leadership and other stakeholders across the company.


What You Need To Have
We’re looking for people who meet the minimum qualifications for this role.

The preferred qualifications are great to have, but are not mandatory.


Minimum Qualifications
Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Advanced degrees are an advantage.


Experience: Minimum 10+ years of experience in software engineering or AI/ML development, with at least 3 years in a leadership role managing high‐performing teams.


Technical Skills: Proficiency in Python; strong understanding of AI/ML frameworks and libraries; experience with cloud platforms (e.g., Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).


Leadership Skills: Proven ability to build, lead, and inspire a diverse team focused on delivering business‐driven outcomes.


Problem‐Solving: Strong analytical and problem‐solving skills with the ability to understand complex business problems and propose effective technical solutions.


Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts to both technical and non‐technical stakeholders.


Innovation Mindset: Passionate about AI and technology with a keen interest in staying updated on the latest trends and advancements in the field.


Equal Opportunity
Airwallex is proud to be an equal opportunity employer.

We value diversity and consider anyone seeking employment at Airwallex based on merit, qualifications, competence, and talent.

We do not regard race, religion, sex, disability, or any other protected status when making hiring decisions.

If you have a disability or special need that requires accommodation, please let us know.


Airwallex does not accept unsolicited resumes from search firms or recruiters.

Airwallex will not pay any fees to search firms or recruiters unless an agreement has been entered into with respect to a specific open position.

Search firms or recruiters submitting resumes to Airwallex on an unsolicited basis shall accept this condition.


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Airwallex adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Engineering Manager, AI Platform Job Success

Airwallex interview tips for Engineering Manager, AI Platform

Here are some tips to help you prepare for and ace your Engineering Manager, AI Platform job interview:

Before the Interview:

Research: Learn about the Airwallex's mission, values, products, and the specific job requirements and get further information about

Other Openings

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Final Thought:

To prepare for your Engineering Manager, AI Platform interview at Airwallex, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Airwallex's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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