Top Artificial Intelligence Jobs in New Zealand

The Senior Product Analyst collaborates with Product Managers and Engineering teams to define and design solutions, facilitating analysis and prioritization while ensuring effective documentation and communication across stakeholders.

The role involves conducting impactful research in behavioural information systems, delivering exceptional teaching for undergraduate and postgraduate courses, and supervising graduate research students. A strong publication record and curriculum development experience are required.

Design self-service insight capabilities and AI-native workflows, develop standards and guardrails, translate business challenges into scalable data and AI solutions, partner with business, Digital, Data and governance teams to deliver trusted, explainable outcomes, and support adoption of AI-enabled ways of working.

Design, build, and maintain production Generative AI services in Python. Integrate enterprise data, implement safeguards and governance, and deploy scalable, secure AI solutions. Mentor peers, collaborate with business teams, and bring emerging GenAI technologies into production.

Own end-to-end Instagram Reels production: ideation, scripting, editing, and delivery. Use AI tools to support ideation and production, test formats, optimize for retention, and stay on top of short-form video trends to grow international audiences.

As a Game AI Product Management Intern, you will research AI developments, assist product managers, design AI-integrated gaming solutions, and develop standards for AI-related gaming products.

Design and deliver scalable, governed AI-ready data products and cloud data pipelines. Enable AI capabilities (agents, semantic retrieval), implement DataOps/CI-CD, observability, and Iac, partner with stakeholders, and mentor engineers to drive enterprise analytics, automation, and AI solutions.

Lead and grow a multidisciplinary Data & AI team to design, build, and embed scalable data platforms and AI solutions. Define strategy, prioritize work, drive adoption, and deliver measurable business outcomes through stakeholder collaboration and hands-on delivery.

Design, build, and maintain production-grade Generative AI services in Python. Integrate enterprise data and cloud infrastructure, implement safeguards and governance, deploy scalable RAG/agent/embedding solutions, mentor engineers, and collaborate with business teams to deliver responsible GenAI outcomes.

Design and implement backend AI systems centered on LLMs and agentic workflows. Build AI agent orchestration (model/tool calling, multi-step reasoning, state management, error handling), integrate models, RAG, and inference services, optimize for high concurrency (streaming responses, async scheduling, caching, cost control), and collaborate with product, frontend, algorithm, and platform teams to deliver scalable AI capabilities.

Lead deployment and scaling of AI/ML models, agentic tools, and automation across R&D. Drive MLOps, platform integration, compliance, stakeholder partnerships, capability building, end-user support, and metrics tracking to deliver measurable value.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.

Lead technical design and delivery of enterprise data, analytics and AI platforms. Provide solution architecture, mentorship, and implementation support across data warehouse, data lake and Microsoft data platform services. Ensure quality, performance, scalability and operational readiness, advise on AI opportunities, drive engineering practices, and coordinate cross-team delivery and support.

Develop AI-powered systems for supply chain workflows. Implement agentic AI features, build backend services, and support testing and validation for AI systems.

The Software Engineer in Test III will develop and execute automated tests, maintain testing tools, analyze defects, and ensure product testability within TraceLink's software solutions.

The Senior Software Engineer in Test builds and executes automated tests, develops testing tools, and collaborates on technical designs while ensuring system testability for the TraceLink platform.

Analyze and classify technical content for security vulnerabilities, apply pattern recognition to improve AI model threat detection, design and evaluate security problems, and collaborate asynchronously with domain experts to produce high-quality outputs.

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.

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 Android architecture and infrastructure for Binance mobile apps: design, build, optimize, and maintain high-performance Kotlin/Java applications, create shared libraries and toolchains, collaborate on hybrid JavaScript runtimes, and use profiling and AI-assisted debugging to troubleshoot and improve app performance.

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.

Lead delivery and quality of modern web experiences: define front-end architecture and design systems, implement accessible, performant, and secure UI, embed testing and observability, mentor engineers, partner with Product and Design, and improve platform and pipelines for scalability and developer experience.

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.

The AI Engineering Director will lead AI strategy, manage talent, provide technical direction, and oversee client engagements for AI solutions.

Lead and build a power electronics team for AI data‑centre energy infrastructure. Own architecture, design, prototyping, validation and productisation of high‑efficiency, reliable resonant converters integrated with batteries. Translate market needs into technical roadmaps, manage R&D lab operations, reduce technical risk, support customer demos and contribute to IP strategy.