We are on the lookout for a Staff/Senior Applied AI Engineer to join the People & Culture (P&C) team on our journey to always deliver amazing experiences. This is not a narrowly defined engineering role, nor a pure product role — it sits deliberately at the intersection of both.
You will work alongside our People Analytics team, P&C CoEs (centre of excellence), other stakeholders, data engineers, and software engineers to design, build, and scale AI solutions that meaningfully improve how we attract, develop, and retain talent across the organisation. You will be the go-to technical expert within P&C - identifying opportunities, shaping solutions, and driving execution end to end. If you thrive in a narrow lane, this is not the right role. If you thrive on context-switching, ownership, and building from the ground up, we want to hear from you.
- Technical collaboration: Work hands-on alongside engineers on system design, integration, and technical decision-making. You don't need to be a full-stack engineer, but you should be able to get into the details, review code, participate meaningfully in architecture discussions, and drive technical solutions end to end.
- AI engineering: Own the full AI engineering lifecycle — prompt design, agent architecture, business context grounding, safeguards, and output validation. Hold a high bar for quality: the agents, gems, and prompts we build should be best-in-class, not just functional. Ensure that what gets built is reliable, explainable, and genuinely fit for a P&C context (sensitive data, bias considerations, trust).
- Delivery and technical ownership: You will own outcomes, not just outputs. Set technical milestones, manage stakeholder alignment, track delivery, and push solutions through to completion — proactively, not reactively.
- Capability building: Train and upskill data analysts and business users on AI tools, patterns, and practices. Multiply your impact beyond what you can build alone. This includes structured enablement sessions, documentation, and ongoing coaching.