Top Artificial Intelligence Jobs in New Zealand

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, build, and maintain operational automations across Salesforce and integration platforms (n8n). Identify repetitive workflows, implement reliable integrations, monitor and troubleshoot automations, document standards, and measure impact to reduce manual effort and improve operational efficiency.

As a Senior Engineer, you will design and operationalize AI workflows, lead AI projects from discovery to production, and work with internal teams on intelligent automation solutions.

As a Senior Engineer in AI Workflows, you will design and operationalize AI agents, connect with internal teams, and deliver AI-driven solutions while ensuring safety and performance metrics.

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 AI Academy Manager will develop and implement an enterprise-wide AI learning strategy, collaborating with stakeholders to enhance AI capabilities while ensuring alignment with Responsible AI principles.

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.

The Director of AI Engineering will lead AI capabilities, including development and evaluation of AI systems, while managing a team and collaborating with cross-functional departments.

Design, build and scale Generative AI services in Python from proof-of-concept to production. Integrate enterprise data and platforms securely, implement AI safeguards and governance, collaborate with business teams, mentor others, and bring emerging GenAI technologies into production-ready solutions.

Manage AI adoption efforts by organizing intake workflows and use-case inventory, partnering with business teams, running adoption workshops, tracking ROI and usage via dashboards, creating executive reports, supporting training and recognition programs, and keeping the AI resource portal current to embed AI into daily workflows.

The Senior MuleSoft + AI Developer will manage system implementation and delivery, collaborate on technical designs, lead discussions, and develop integration solutions using MuleSoft and API patterns.

The Data Governance & AI Specialist manages EROAD's data governance platforms, ensuring compliance and quality in data and AI initiatives while engaging with various stakeholders.

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.

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.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D 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.

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 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.

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.

Lead adoption of generative AI across global marketing and creative teams. Translate brand strategy into systems, guardrails, prompts, templates and scalable workflows. Provide hands-on creative direction, develop AI-assisted production methods, coach teams on AI-enabled practices, and deliver consistent, high-quality campaign, presentation, and client-facing creative assets while maintaining responsible AI use and brand integrity.

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.