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A leading telecommunications company in Christchurch is seeking an AI Ops Engineer to manage AI service observability, ensuring clear operational signals and effective governance. The role involves close collaboration with various teams to implement toxic guardrails and maintain operational documentation. The ideal candidate will have experience in AI service management and a collaborative approach. This position offers flexibility, health insurance, and opportunities for work-life balance.
At One NZ we’re not just imagining the future, we’re building it. Our purpose? A better-connected Aotearoa New Zealand. Kia renarena te taukaea i Aotearoa New Zealand. Our ambition? To become the most AI-enabled telco on the planet. This isn’t just about our technology, It’s about you. We’re investing in our people like never before... empowering them to grow, lead, and shape what’s next. Through our AI School, access to world-class learning platforms, or career pathways that evolve with you, we create an environment where your curiosity thrives, and your skills accelerate. Join us and be part of something extraordinary: connect with purpose and help redefine what’s possible. Uia mai koe te pātai, he aha te mea nui o tēnei ao? Māku koe e ki atu he tangata, he tangata, he tangata. “If you asked me, what is the greatest thing in this world, I would say it is people, it is people, it is people.”
As the AI Ops Engineer in Data & AI, you’ll lead the enablement of end-to-end observability across AI services — embedding dashboards, alerts, traces, and evaluation reports to ensure every change is evidence-based and every service has clear operational signals. You’ll own the AI lifecycle gates from evaluation through rollout, rollback, drift detection, and deprecation, managing models and configurations as code with versioning, test coverage, and audit trails.
You’ll work closely with Support, Service Management, Platform Engineering, SRE, DataOps, Security, Architecture, and product owners to align criticality tiers, SLOs, and support structures that balance customer experience with cost. You’ll also partner with engineering and DataOps on feature stores, retrieval patterns, lineage, and FinOps controls to ensure scalable, predictable AI operations.
This role operates through influence and hands-on enablement — publishing clear patterns, coaching squads and partners, and keeping the flow from inception to production simple, visible, and auditable.
Joining our whānau is more than starting a new job - it’s the beginning of a journey that will challenge and inspire you to play a role in something bigger. Tū hikitia rā, tū hāpainga. Tū hāpainga, tū hikitia rā. We stand to uplift, to support and to elevate others.