Airwallex - Lead AI Engineer
Requirements
• We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. • Experienced engineering leader: You have 8+ years of software engineering experience, including 2+ years leading, managing, or formally mentoring engineers. You have a track record of building strong teams and delivering complex products end to end. • Hands-on Agent builder: You have deep experience designing and operating scalable agentic architecture, backend or distributed systems. • Hands-on Agent builder: • AI product and platform fluency: You understand the engineering realities of retrieval, model integration, agent workflows, evaluation, observability, and changing model behaviour. • AI product and platform fluency: • Quality and reliability driven: You bring a disciplined approach to evaluation, monitoring, incident management, performance, and operational readiness. You know that AI quality requires measurement and iteration, not intuition alone. • Quality and reliability driven: • Security-minded: You understand secure software design and appreciate the importance of authentication, authorisation, data protection, auditability, and abuse prevention in systems that access sensitive data or initiate actions. • Security-minded: • Applicant Safety Policy: Fraud and Third-Party Recruiters • 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. • Equal opportunity • Equal opportunity
Responsibilities
• 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. • Lead and grow an exceptional team: • 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. • Evolve technical architecture for Kai: • 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. • Build trusted AI products: • 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. • Make evaluation and safety release disciplines: • 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. • Deliver resilient, scalable systems: • 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. • Partner across the business: • 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. • Enable responsible action-taking: • 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. • Build for leverage:
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