Airwallex is on the 2026 Best Places to Work list!
Airwallex Logo

Airwallex

Engineering Manager, AI

Sorry, this job was removed at 03:15 a.m. (PST) on Tuesday, Aug 12, 2025
Be an Early Applicant
In-Office or Remote
Hiring Remotely in SGP
In-Office or Remote
Hiring Remotely in SGP
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 – 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 1,700 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, 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.

Role and Project Scope:

We are seeking a highly skilled and motivated Engineering Manager to lead our AI 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.

Responsibilities:

  1. Team Leadership:

    • Build, mentor, and lead a high-performing team of software engineers, machine learning engineers, and AI specialists.

    • Foster a culture of collaboration, creativity, and technical excellence.

  2. Strategy & Vision:

    • Develop and execute the strategy for the AI team in alignment with Airwallex’s overall business objectives.

    • Stay abreast of industry trends and emerging technologies to ensure Airwallex remains at the forefront of AI innovation.

  3. Project Management:

    • Oversee the planning, execution, and delivery of AI projects, ensuring they meet business requirements and deadlines.

    • Collaborate with cross-functional teams including Product, Design, and Operations to prioritize and deliver high-impact solutions.

  4. Technical Expertise:

    • Provide technical guidance and expertise in AI and machine learning including model development, deployment, and maintenance.

    • Ensure the scalability, reliability, and security of AI solutions.

  5. Stakeholder Engagement:

    • Work closely with key stakeholders to understand business challenges and opportunities where AI can add value.

    • Communicate progress, insights, and outcomes to executive leadership and other stakeholders.

  6. Continuous Improvement:

    • Promote a culture of continuous learning and improvement within the team.

    • Identify opportunities to optimize processes and implement best practices in AI and machine learning.

Qualifications:

  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees would be an advantage.

  • Experience: Minimum 7+ 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 programming languages such as Python, Java, or Scala.

    • Strong understanding of generative AI/ML frameworks and libraries (e.g.,Langchain, LlamaIndex, etc).

    • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).

  • Leadership Skills: Proven ability to build, lead, and inspire a diverse team with a strong focus 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 effectively 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 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.

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.


#BI-Remote
HQ

Airwallex San Francisco, California, USA Office

Airwallex San Francisco, US Office

188 Spear Street’s superior location is two blocks from the Embarcadero, the promenade running along the SF waterfront, and offers exceptional views and convenience through its easy access to BART, Muni, ferries, the Transbay Terminal, the Bay Bridge and all major freeways.

Sales

This isn’t just another sales role. This is your chance to build the future of global banking with a team that’s built to win. We give top performers the autonomy, the product, and the support to achieve uncapped success.

AI Engineering

Our SF AI Engineering team at Airwallex is building production-grade AI that automates the hardest parts of global finance — from payments and onboarding to reconciliation, bookkeeping, and tax. Sitting on top of our proprietary global payments infrastructure and massive real-time transaction datasets, we design and ship vertical AI systems — from LLM-powered copilots and agentic workflows to fine-tuned models — that reach customers quickly and at scale. We’re a small, senior, zero-ego group with high ownership: engineers work end to end from problem framing and experimentation through to deployment and evals, using the right tool for the job to turn deep AI work into visible, shipped impact.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account