As the Lead engineer in our Generative AI department, you will lead the team and help define the technical and strategic vision for next-generation AI solutions. You will drive engineering excellence across Kai. Your work will set the standard for AI engineering excellence, paving the way for the next wave of intelligent products and services
This role is based in Singapore
Lead and grow an exceptional team: Manage, coach, and develop a team of AI, backend, and frontend engineers. Set clear expectations, build an inclusive high-performance culture, and raise the engineering bar through hiring, feedback, and technical mentorship
Evolve technical architecture for Kai: Define and evolve the architecture for agent orchestration, context and retrieval, tool integrations, identity and access control, observability, and evaluation systems. Make sound trade-offs across quality, latency, reliability, cost, security, and time to market
Build trusted AI products: Lead the delivery of production-grade AI features from discovery through launch and iteration. Establish clear product and model success metrics, instrument customer journeys, and use real-world feedback to continuously improve Kai’s usefulness and trustworthiness
Make evaluation and safety release disciplines: Build repeatable, versioned evaluation practices for task success, groundedness, tool use, safety, and domain-specific failure modes. Define launch criteria, staged-rollout and rollback mechanisms, and monitoring that detects regressions as models, prompts, and data evolve
Deliver resilient, scalable systems: Drive engineering excellence across service design, APIs, data pipelines, reliability, performance, cost efficiency, testing, incident response, and operational readiness. Define and improve SLOs for critical Kai services
Partner across the business: Work closely with Product, Design, Data, Security teams to translate business needs and model capabilities into secure, coherent customer experiences. Communicate technical decisions and risks clearly to stakeholders
Enable responsible action-taking: Champion robust authentication, authorisation, permission checks, auditability, and human-in-the-loop patterns for agent actions. Ensure Kai behaves predictably and appropriately in the context of Airwallex’s customers, products, and regulatory obligations
Build for leverage: Create reusable agent platforms, developer tooling, quality frameworks, and engineering standards that allow multiple teams to safely ship high-quality AI experiences