Top Artificial Intelligence Jobs in New Zealand

Leads global financial control for a high-growth multinational, overseeing IFRS consolidation across 50+ entities, statutory reporting, audits, treasury, technical accounting, finance processes, SAP S/4HANA, product and factory costing, and AI-driven automation. Manages finance leadership and a large shared-services team while maintaining balance-sheet integrity, strengthening controls, and partnering with FP&A, tax, and SAP IT teams.

Manage the APAC payroll operations function, ensuring accurate, timely, and compliant payroll processing across countries. Lead, mentor, and support the payroll team; oversee relationships with payroll, accounting, and external service providers; coordinate with internal and external stakeholders; monitor international payroll regulations; and implement best practices, KPIs, and SLA metrics to improve performance.

10-week onsite engineering internship working with engineers to develop edge-based video AI and imaging solutions, including training AI models, building proofs-of-concept for solar/battery cameras, and applied computer vision research.

Graduate role in Air New Zealand's Data and AI team building skills in AI, machine learning, data science, data engineering and analytics. Collaborate with specialists to solve business problems, develop intelligent solutions for digital products used by millions, and participate in a structured graduate programme with mentorship and rotations.

Manage editorial control of Adis journal content, assess manuscripts, identify peer reviewers, make publication decisions, and commission content in therapeutic specialist areas. Ensure technical accuracy, concise scientific writing, and meet monthly copy targets while collaborating with internal and external stakeholders.

Create high-impact AI-generated video and animated ad creatives from brief to final delivery. Use generative AI tools for ideation, moodboarding, prompt engineering, asset variation, and production polish. Collaborate with business and local market teams, present work to stakeholders, and optimize creative performance for marketing and paid ads.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

Lead technical engagements to design, validate, and deploy secure, scalable Azure architectures for AI and enterprise workloads. Drive technical sales through demos, POCs, and workshops; design hybrid networking, migration, containerization (AKS), and partner integrations (NetApp, VMware, SAP/Oracle); resolve technical blockers and collaborate with stakeholders and partners to move solutions from proof-of-concept to production.

Lead delivery of the firm's AI strategy and change programme: manage the AI Transformation team, drive firmwide AI adoption, partner with legal and business teams to implement AI-enabled solutions, run AI Labs experimentation, monitor adoption/risks/benefits, and support governance and responsible AI practices.

Design and build ELT pipelines, semantic layers, and data models using cloud data platforms (ideally Azure Databricks). Support production fixes, follow CI/CD and team best practices, and prioritise safety, quality, and continuous improvement.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Seeking a passionate AI development lead with 7+ years in software development, focusing on innovative AI-driven solutions. Collaborate with teams to deliver generative AI applications and utilize cloud-native technologies for production deployments.

Design and deliver AI-ready, governed cloud data products and pipelines to enable AI agents, semantic retrieval, and analytics. Build scalable ELT/ETL, DataOps, CI/CD, IaC, observability, and governance; partner with stakeholders and mentor engineers to drive AI-enabled solutions across the airline.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.

Partner with lawyers and technology teams to design, implement and optimise AI-enabled legal solutions (prompt libraries, document automation, knowledge tools). Identify efficiency opportunities, support responsible AI adoption, deliver training and guidance, and monitor emerging legal technology to drive firm-wide transformation.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

Lead 0-to-1 exploratory bioinformatics projects that combine genomic data, literature retrieval, deterministic methods, and AI to prototype new product capabilities, define evaluation and stop criteria, diagnose failures, and hand off validated evidence packages to Product, Engineering, and Bioinformatics for independent evaluation and potential productionization.

Own the member-facing mobile (and near-term signed-in web) product roadmap for AI-powered genomic experiences. Drive activation, engagement, retention, and trust by translating intelligence-layer capabilities into polished consumer UX, rapid prototypes, experiments, and clear PRDs while partnering with AI platform, engineering, bioinformatics, design, and customer success.

Lead a team of Cloud Solution Architects to drive customer ROI on Microsoft Copilot and agentic AI. Own executive relationships, billable consumption, pipeline and forecasting, delivery governance, CSAT, and technical leadership across M365 Copilot, Power Platform, Azure AI Foundry, identity, protection, and governance while developing leaders and reusable IP.

Lead end-to-end design for marketing: brand systems, landing pages, presentations, and sales collateral. Build AI-first production workflows to speed output, maintain brand consistency, and ship enterprise-grade assets rapidly while working closely with the CEO and sales.

Lead AI transformation and data reporting: identify high-leverage automation opportunities, build and maintain agentic AI workflows, design ELT pipelines and a unified reporting platform, partner with teams, manage vendors, establish AI guardrails, and measure outcomes to ensure adoption and cost control.

Support ZURU's AI Integration team by embedding within business teams to identify AI opportunities, run upskilling workshops, and implement quick-win AI solutions to boost productivity and adoption.