AI Ops Engineer at One New Zealand

Christchurch, Canterbury, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Lifecycle Management, AWS Services, Event-Driven Architecture, CI/CD Pipelines, Observability Tools, Data Ingestion, Identity Resolution, Governance, Terraform, Secrets Management, Incident Response, Change Automation, Rollback Strategies, Resilience Patterns, Collaboration, Coaching

Industry

Telecommunications

Description

He aha ai tātou – Why us? 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.”Ko tō tūranga – your role 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.Ko tō mahi – what you’ll do Lead the evaluation, approval, rollout, rollback, drift detection, and deprecation of AI services. Manage models and configurations as code with versioning, test coverage, and audit trails. Define and implement guardrails for toxicity, PII, policy violations, hallucination control, and grounding. Conduct red-teaming exercises and containment strategies, and report on safety posture. Align support structures, on-call coverage, escalation paths, and playbooks with Service Management and partners. Ensure runbooks are current, usable, and effective for BAU and after-hours support. Collaborate with DataOps on feature and embedding stores, retrieval/RAG patterns, lineage, and SLAs to ensure reliability and cost-efficiency. Enforce tagging to surface product-level costs, monitor budget variances and anomalies, and drive safe optimisations such as caching, batching, and model sizing. Maintain up-to-date standards, diagrams, evaluation reports, and runbooks to ensure clean handovers and reduce single points of failure. Na tōu rourou - what you’ll bring Proven experience managing the full lifecycle of AI models and agents — from evaluation and approval to rollout, rollback, drift detection, and deprecation. Skilled in prompt/config/version management as code, RAG patterns, vector/feature stores, and runtime monitoring for latency, quality, and safety. Hands-on experience with AWS services such as Bedrock and SageMaker (or equivalents), serverless runtimes, event-driven architecture, CI/CD pipelines, observability tools (CloudWatch/OpenTelemetry), and secure connectivity. Practical knowledge of building and operating agentic experiences using Agentforce, integrating with Salesforce workflows (Service, Sales, Knowledge), and aligning runtime signals (safety, performance, cost) to business outcomes. Strong understanding of data ingestion, identity resolution, harmonisation, segmentation, activation, and governance — with a focus on how Data Cloud supports AI/RAG use cases and downstream observability. Proficient in Terraform-first provisioning across AWS, Snowflake, and Salesforce integrations. Experience with HashiCorp Vault for secrets management, PKI, dynamic credentials, policy-as-code, automated rotation, and audit trails. Deep knowledge of SLIs/SLOs, tracing, logging, alerting, incident response, post-incident reviews, change automation, rollback strategies, and resilience patterns. Comfortable partnering with Support, Service Management, and vendors for BAU and after-hours operations. Nā mātou te rourou – what you’ll get One New Zealand is leading the way by ensuring you can have a truly balanced life. Most roles allow flexibility to work from home and flex your hours to enjoy work & whānau commitments. A fully subsidised Southern Cross health insurance cover for you and your family. Laptop, unlimited data plan and a market leading mobile phone Lifestyle leave, giving you the option to purchase an extra week or two of annual leave. Discounts on One New Zealand products, services and much more! 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. #LI-YA1

Responsibilities

Lead the evaluation, approval, rollout, rollback, drift detection, and deprecation of AI services. Manage models and configurations as code with versioning, test coverage, and audit trails.