Top Artificial Intelligence Jobs in New Zealand

Own Xero and Melio’s global affiliate channel, managing publisher relationships, campaigns, budgets, tracking, attribution, reporting, and optimization. Use Impact and PartnerStack to grow acquisition across Australia, the UK, and the US. Partner with engineering, data science, product, brand, and agencies to close tracking gaps, improve incrementality measurement, and develop AI-powered tools and workflows that scale channel performance.

Leads Xero’s global growth content organization and redesigns its content operating model for an AI-native future. Owns content strategy across the funnel, establishes test-and-learn practices, connects content performance to business outcomes, improves brand consistency and channel fit, and develops a high-performing global team. Partners across marketing, product, analytics, sales, communications, SEO, and regional teams within a complex global matrix.

Lead full-stack engineering for foundational Practice Tools systems, delivering billing changes, Xero Partner Hub rollout, legacy system retirement, authorization improvements, and reliable infrastructure. Build with React and JavaScript or TypeScript alongside Java or .NET, manage CI/CD, monitoring, and alerting, and drive adoption of AI-assisted and agentic development workflows. Mentor engineers and guide technical methodology while progressing toward senior technical leadership.

Leads the design, delivery, and evolution of enterprise data platforms, pipelines, and products. Provides hands-on technical leadership across squads and programs, supports analytics and AI initiatives, establishes engineering standards, and coaches data engineers. The role also oversees data governance, security, observability, automation, technical debt, and operational excellence while translating business requirements into scalable, reliable solutions.

Improve asset management systems, governance, data quality, and decision-making for Vector’s low-voltage electricity network. The role involves defining system requirements, developing governance frameworks, applying analytics and predictive maintenance approaches, and translating network and smart meter data into actionable insights. Senior engineers will lead complex cross-functional initiatives, provide technical direction, and build organizational capability, while systems engineers will focus on delivery and execution across engineering, operations, technology, and asset management teams.

Leads credit risk analytics for card portfolios, including executive reporting, early warning indicators, acquisition-channel analysis, portfolio performance, AI innovation, automation, and credit loss forecasting. Develops vintage and roll-rate models, translates complex data into recommendations for senior stakeholders, evaluates emerging technologies, and mentors junior analysts. Requires strong quantitative, statistical, communication, and data storytelling skills, with proficiency in SQL, Python, SAS, Excel, and BI tools.

Supports sales teams by presenting and demonstrating AI and document management solutions to law firms, enterprises, and government clients. The role delivers customer workshops, develops proposals and RFP responses, advises stakeholders, translates technical concepts into business value, and shares market feedback with product teams. It requires pre-sales or solutions consulting experience, strong presentation skills, AI understanding, commercial acumen, and consultative customer engagement.

Leads enterprise-wide fraud prevention, detection, investigation, disputes, and resolution operations across card and consumer loan portfolios. Oversees 250+ employees, multiple Directors, a $20M+ budget, fraud technology platforms, regulatory compliance, vendor relationships, and strategic initiatives. Presents fraud performance to executives and board committees, manages risk appetite, drives organizational development, and partners with analytics and IT teams on AI, machine learning, authorization systems, and digital transformation.

Design, develop, maintain, document, and integrate AI and machine learning solutions supporting AA staff and customers. Collaborate cross-functionally to translate business needs into practical systems, apply software engineering best practices, and contribute to safe, innovative AI initiatives.

Own enterprise customer acquisition in New Zealand, managing complex sales cycles from prospecting through agreement and onboarding. Develop territory and account strategies, engage executive stakeholders, position Snowflake’s data and AI platform, coordinate internal specialists and partners, generate pipeline, apply MEDDPICC, negotiate agreements, and support customer adoption.

Lead the organisation’s AI programme over a six-month contract by identifying high-value opportunities, establishing responsible AI governance and risk frameworks, and creating implementation foundations. The role develops roadmaps, supports change and capability development, prioritises initiatives, and engages leaders, clinicians, community teams, and digital stakeholders to deliver safe, ethical, and valuable AI adoption.

Build, deploy, and maintain production-grade AI-powered finance automations using enterprise tools such as Claude and NetSuite. Partner with FP&A, accounting, and Finance Systems to identify valuable automation opportunities, evaluate native AI capabilities, develop scripts and workflows, and support platform upgrades and implementations. Own initiatives from scoping and testing through delivery and ongoing maintenance while helping shape the finance systems AI roadmap.

Manage Tribe’s customer growth by building relationships, generating leads, managing the full sales cycle, negotiating proposals, closing opportunities, and maintaining CRM records. The role involves customer acquisition, referrals, account development, collaboration with internal teams and technology partners, and translating managed IT, cloud, cybersecurity, automation, and AI solutions into customer value.

Lead data and AI governance across Xero by evolving governance frameworks, translating policies into practical guidance, delivering data and AI literacy programs, and partnering with technical, privacy, regulatory, security, and risk teams. The role focuses on responsible AI adoption, data stewardship, quality, lineage, transparency, bias, explainability, and regulatory readiness.

Provides senior technology consulting and technical leadership for HPC and AI deployment solutions. Designs enterprise architectures, leads cross-functional implementation teams, resolves complex multi-vendor technology issues, advises senior customer IT leadership, and supports proposals and sales activities. Develops reusable solutions, creates project plans and architecture specifications, presents at technical conferences, mentors consultants, and cultivates strategic customer relationships.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, reasoning quality, usefulness, and trustworthiness. Provide clear written feedback, distinguish response quality levels, and explain assessments through short videos. The role requires senior-level software engineering experience, strong TypeScript/JavaScript or Python skills, familiarity with AI-assisted development workflows, and the ability to make rigorous, opinionated judgments without reviewing every line of code.

Architect, operate, and scale production agentic platforms and developer tooling, including PR review agents, SDLC copilots, and context engines. Establish reliability, observability, cost governance, evaluation, and safety practices for non-deterministic workloads. Improve developer experience through CI, local development, and AWS serverless optimization. Drive adoption across engineering teams through technical leadership, pairing, mentorship, and communication.

Leads complex AI and business process transformation sales opportunities across assigned customers. Responsibilities include executive discovery, solution envisioning, business value assessments, competitive positioning, proposal development, business-case creation, partner coordination, and transformation roadmap development. The role builds senior stakeholder relationships, advances qualified pipeline revenue, aligns customer success plans and KPIs, and serves as a trusted specialist for Microsoft Business Applications, Copilot, Dynamics 365, Power Platform, and AI solutions.

The Senior AI Developer will design and implement AI solutions for engineering teams, focusing on document intelligence, machine learning, and automation in a collaborative, agile environment.

Designs reference architectures for AI data center networks, including L2/L3 fabrics, BGP, EVPN/VXLAN, RoCEv2, and QoS. Builds and operates labs to qualify switches, NICs, and network operating systems; performs interoperability and performance testing; reproduces complex customer issues; and troubleshoots congestion, packet loss, MTU, latency, PFC, and ECN behavior. Documents best practices, develops automation, collaborates with vendors and internal teams, and provides feedback to product R&D.

Leads enterprise AI opportunity discovery, prioritization, experimentation, and product direction. Defines use cases, guardrails, success metrics, adoption plans, and implementation guidance for probabilistic and agentic AI experiences. Evaluates build-versus-buy options, model architectures, vendor solutions, risk, performance, and compute economics. Partners with executives and cross-functional teams to scale validated AI capabilities and measure business value, quality, cost, and responsible adoption.

Build and maintain internal AI workflows, automations, and tools across company functions. Identify process improvements, integrate commercial systems through APIs, establish trusted data models and metrics, manage vendors, control operating costs, and implement responsible AI guardrails. The role also enables teams through training and playbooks while owning solutions end to end in a hybrid Auckland environment.

Designs, builds, deploys, and supports AWS cloud environments for diverse customers. The role focuses on infrastructure automation, Infrastructure as Code, DevOps, observability, security governance, incident and problem management, cloud optimization, and continuous service improvement. Responsibilities include advising customers, enabling cloud adoption, supporting mission-critical production environments, contributing to platform strategy, and participating in an after-hours on-call roster.

Creates and answers prompts, reviews AI-generated responses and reasoning, ranks model outputs, and provides constructive feedback to improve AI accuracy and helpfulness. No technical or AI background is required, but clear writing, critical thinking, problem-solving, and a bachelor's degree are required. The work is flexible and remote, with eligibility limited to applicants located in Australia, Ireland, New Zealand, the United Kingdom, the United States, or Canada and able to complete identity verification.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.