Top Artificial Intelligence Jobs in New Zealand

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.

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.

Identify patentable inventions across firmware, software, machine learning, electronics, and mechanical systems; draft patent specifications and claims; manage prosecution; lead freedom-to-operate and invalidity work; and develop AI-enhanced intellectual property tools. The role partners closely with engineers, analyzes design documents and code, identifies patent whitespace, and helps shape scalable IP processes for Halter’s rapidly expanding technology portfolio.

Supports marketing and advertising technology platforms, integrations, data flows, customer segmentation, journeys, campaign activation, and marketing automation. Develops data pipelines, scalable campaign components, documentation, training, and platform support. Applies AI and emerging technologies to improve personalization and marketing effectiveness while troubleshooting data, integration, and campaign issues.

Develop and execute enterprise partner sales strategy across ASEAN, recruiting and enabling SIs, consulting firms, ISVs, and VARs. Drive partner pipeline, revenue, and ecosystem growth; manage targets, deal conversion, performance reporting, and cross-functional partnership programs. Build trusted partner and customer relationships, represent the company at industry events, and support deployment of AI agents and the platform. The role requires independent execution, strategic thinking, strong communication, and travel of up to 40%.

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.

Build, operate, and improve Fulton Hogan’s enterprise AI platform, including integrations, monitoring, reliability, governance, and incident response. Establish engineering standards for AI solutions and collaborate with architecture, security, data, and infrastructure teams. The role involves model selection, enterprise AI tooling, APIs, identity, security, and integrating AI or large language model capabilities into production environments.

Supports customer-facing technical sales engagements by demonstrating Microsoft solutions, building proof-of-concepts, presenting reference architectures, and helping customers address cloud, AI, data, analytics, security, and application-development needs. Collaborates with sales teams, partners, and technical specialists to solve customer challenges, communicate product value, contribute to technical wins, and develop expertise across Microsoft technologies.

Leads the University's enterprise AI vision, strategy, roadmap, and product lifecycle. Identifies AI opportunities, develops business cases, prioritizes initiatives, and partners with data, architecture, security, and delivery teams to implement scalable, governed solutions. Engages senior stakeholders, drives adoption, evaluates value and ROI, and promotes responsible AI, data governance, security, and ethical decision-making. This is a 24-month fixed-term, full-time position.

Leads the Reserve Bank’s technology strategy, enterprise architecture practice, governance, roadmaps, and emerging technology adoption. Drives AI deployment and AI-enabled business transformation, evaluates digital assets and financial technologies, and provides technology leadership for strategic initiatives including Payments Modernisation. The role influences senior stakeholders, leads high-performing teams, and translates complex technology opportunities into business value while building a sustainable performance culture.

Leads Cashalo’s 11–12-person backend and mobile engineering team while advising the Philippines GM. Owns ambiguous, cross-market business problems, drives experiments and solutions, and applies proven engineering and product patterns to regional needs. The role requires strong engineering leadership, product judgment, startup experience, AI-enabled workflows, and the ability to engage technically with Staff+ engineers. It is fully remote across Australia, Singapore, or the Philippines, with quarterly travel to the Philippines.

Leads the people data workstream for a major employee experience transformation. Oversees data governance, quality, reporting, insights, and master data management while partnering with HR, payroll, IT, finance, and programme teams. Develops workforce reporting, supports strategic decisions, mentors a small team, and identifies opportunities for automation, analytics, and AI.

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.

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.

Own strategic telecommunications accounts across Australia and New Zealand, building customer relationships, developing account strategies, managing pipelines and forecasts, and delivering revenue targets. The role focuses on selling Red Hat’s cloud, automation, Linux, OpenStack, OpenShift, and related solutions to carrier telecommunications customers. Responsibilities include stakeholder engagement, partner coordination, proof-of-concept development, customer retention, sales planning, and collaboration with marketing, presales, consulting, and global telecommunications teams.

Leads BDO’s enterprise Talent Management and Workforce Insights portfolio, including total rewards, people analytics, organizational development, HR operations, and service delivery. Translates people strategy into measurable business outcomes, advances workforce data governance and analytics, modernizes HR processes through technology and AI, and strengthens leadership, organizational effectiveness, performance, wellbeing, and succession. Advises senior leaders, leads specialist teams, and drives integrated, scalable people programs across the firm.

Own an enterprise agricultural sales territory, generating pipeline and closing high-value deals with growers, farm-management companies, and institutional landowners. Responsibilities include prospecting, discovery, in-field demonstrations, ROI development, negotiation, forecasting, CRM management, account expansion, and coordination with deployment and customer success teams. The role requires strong agricultural knowledge, enterprise sales experience, independent territory development, and approximately 25% travel.

Executive engineering leader reporting to the CEO, responsible for technology strategy, engineering roadmaps, software and platform delivery, scalability, reliability, cybersecurity, quality assurance, incident management, and team development. The role translates customer and commercial priorities into technical solutions, leads engineering leaders, partners with Product and business functions, and provides executive-level technical direction across SaaS, AI, infrastructure, integrations, and field-deployed technology.

Build and maintain production data pipelines ingesting from SAP, POS, logistics and marketing systems. Migrate legacy pipelines to modern architectures, monitor and improve data quality, support platform infrastructure, collaborate cross-functionally, document processes, and apply automation and AI to improve workflows.

Lead the end-to-end design, delivery, and operation of secure, scalable AI solutions. Build production AI services on Azure, establish monitoring and guardrails, evaluate agent behavior and tool use, and automate business workflows. Review and harden AI-generated code, infrastructure, and pipelines while maintaining strong testing, security, data protection, and cost-effectiveness. Design agentic workflows and retrieval solutions across the technology stack.

Own and prioritise digital product backlogs, develop roadmaps, translate business needs into requirements, and collaborate with stakeholders, vendors, designers, technical specialists, and delivery teams. Use feedback, data, metrics, and cost awareness to guide product decisions, continuous improvement, and value realisation. The role also contributes to Fulton Hogan’s growing AI Practice, supporting governance, quality, and the strategic use of AI across the business.

Own and develop production data pipelines across SAP, retail, logistics, and marketing systems. Design scalable architectures, migrate legacy pipelines, model data for analytics and AI, and implement testing, observability, alerting, governance, and automation. Partner with business stakeholders to create trusted datasets, improve platform infrastructure, and mentor junior engineers. The role requires strong SQL and Python, dbt, cloud data platform experience, orchestration, production debugging, and end-to-end ownership.

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.

Lead strategy and execution for Xero’s AI Shared Services platform, including eventing, communications, search, and related reusable capabilities. Define the domain roadmap, establish success metrics and dashboards, build stakeholder relationships, and drive adoption across product and engineering teams. The role requires managing interdependent platform products, applying technical fluency across distributed systems and cloud environments, making investment cases, navigating ambiguity and dependencies, and growing high-performing people and teams.