Senior Staff 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 Senior Staff 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 is a senior technical specialist within our AI Platform Services (AIPS) Engineering teams, focused on AI data infrastructure. Reporting to the Head of Engineering, you will be the authority on centralised data platforms for AI/ML workloads, proactively understanding the problems across our AI teams, developing the strategy, advocating for solutions, and delivering outcomes that accelerate AI innovation across SEEK. Responsibilities  • Define and own the technical strategy for centralised AI data infrastructure across AIPS • Design scalable data architectures for AI/ML workloads spanning ingestion, transformation, and serving • Consult with our AI teams to deeply understand data needs and translate them into strategic platform solutions • Drive data governance, quality, and consistency across AI/ML data pipelines • Guide Staff Engineers and engineering teams on AI engineering best practices and patterns • Partner closely with Architecture, Data Services, and Security on data platform decisions • Advocate for and embed data engineering practices that reduce duplication and increase self-service capability • Support the Head of Engineering in capacity planning, scoping, and prioritisation of AI platform work, while contributing to the broader AIPS engineering community through knowledge sharing and technical leadership