Lead Engineer (AIPS) at SEEK

The team The AI Platform Services (AIPS) teams build platforms and solutions that solve complex information problems and enable AI innovation across the SEEK Group. Our AI Platform Engineering teams provide shared infrastructure, governance, and reusable assets that empower AI and product teams to experiment safely, ship faster, and deliver intelligent experiences at scale. Teams are cross-functional, multi-disciplinary squads operating within an APAC matrix organisational structure. We work in an Agile environment with regular standups, sprint ceremonies, and collaborative ways of working. About the role  As a Lead Engineer at SEEK, you'll be part of a fast-paced and supportive environment where you can make a real difference. You'll work on complex challenges that have a direct impact on people's lives, helping us evolve our business and reach new heights. This role provides technical and people leadership within our AI Platform Engineering domain — managing, mentoring, and developing the engineers who build the platforms powering AI innovation across SEEK. Reporting to the Engineering Manager, you will partner closely with the Staff Platform Engineer on technical direction and collaborate with Data Scientists, ML Engineers, and product teams to deliver scalable, resilient AI platform solutions. You will have 3–6 direct reports. Responsibilities  • Lead and develop a high-performing team through coaching, mentoring, career development, and a culture of safety, inclusivity, and engagement • Drive delivery of AI platform systems from development through to production, ensuring high availability, resilience, and performance for production AI workloads • Contribute to technical strategy for GenAI and ML platforms in close partnership with the Staff Platform Engineer • Build and operate scalable AI infrastructure on AWS, leveraging Python and Infrastructure-as-Code • Strengthen engineering practices and DevOps culture for AI platform operations, including incident management, on-call processes, and supporting documentation • Build strong relationships with key stakeholders including Data Scientists, ML Engineers, Architecture, and Security • Lead recruitment, onboarding, and retention of engineering talent