Engineering Manager, AI Platform - AIRWALLEX (SINGAPORE) PTE. LTD.

Roles & Responsibilities

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

• Strategy & Vision : Develop and execute the strategy for the AI team, aligning the technical direction and roadmap with Airwallex's business objectives. Stay at the forefront of industry trends to ensure we remain leaders in AI innovation.
• Team Leadership : Build, mentor, and lead a high-performing team of software engineers, and AI specialists. Foster a culture of collaboration, creativity, and technical excellence while setting clear goals, managing performance, and developing career paths.
• Cross-Functional Partnership : Partner closely with Product, Design, and Operations to define the roadmap, prioritize a measurable backlog, and deliver high-impact AI solutions. Work with key stakeholders to understand business challenges and identify opportunities where AI can add significant value.
• Technical Ownership : Serve as the accountable owner for the architecture and system quality across our AI services. Provide deep technical guidance on model development, deployment, and maintenance, ensuring our solutions are scalable, reliable, and secure.
• Hands-On Guidance : Remain hands-on where it matters most. Guide architectural designs, review critical models and APIs, and de-risk complex initiatives with pragmatic technical deep dives.
• LLMOps & Best Practices : Champion best practices for the entire AI lifecycle, including Prompt-tuning, Context Engineering, Fine-tuning, Annotations and human-in-the-loop feedback. Drive a culture of continuous learning and process improvement.
• Operational Excellence : Own the operational health of our production AI systems, including on-call readiness, model monitoring, incident response, postmortems, and continuous reliability improvements.
• Talent Strategy : Lead the talent strategy for your organization. Recruit, onboard, and develop top-tier engineers and managers, building a diverse team and robust succession plans for sustained velocity.
• Stakeholder Engagement : 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 :

Technical Skills :

Proficiency in programming languages such as Python.

Strong understanding of AI / ML frameworks and libraries (e.g.,Langgraph).

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

Tell employers what skills you have

Kubernetes

Product Design

Architectural

Artificial Intelligence

Software Engineering

Technical Direction

Reliability

Team Leadership

Python

Artificial Intelligence Application

Google Cloud

Docker

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