Top Artificial Intelligence Jobs in New Zealand

Own and operate the International Commercial build engine from data foundation to production AI. Deliver governed data platforms, reusable agentic AI and production-grade engineering via a shared deployable pool, vendor/SI management, platform integration with CIO, AI evaluation/red-teaming, AgentOps, run/BAU, observability, cost control and cross-functional stakeholder alignment to ensure reliable, compliant, and reusable solutions in production.

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.

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.

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.

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.

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.

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.

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.

Support building and maintaining data pipelines and datasets for AI and analytics. Prepare structured and unstructured data, translate business needs into briefs, create documentation and training, run workshops to build AI literacy, support stakeholder engagement and reporting, monitor adoption metrics, and assist delivery teams to deploy and iterate AI solutions.

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 Senior Legal AI Researcher will develop custom AI models for legal tasks, mentor junior researchers, evaluate legal AI benchmarks, and improve legal operations through AI.

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.

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.

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.

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

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.

As an AI Operations Associate, you'll ensure customer success for advisers, handle operations, provide insights to the product team, and contribute to various tasks as needed.

As a Lead Software Engineer, you'll design and develop AI and automation solutions, ensuring high-quality standards and operational readiness while leading the team in technical matters.

Contract Senior Engineer to build Python-based integration libraries and backend logic connecting AI agents to internal systems. Design APIs with FastAPI/Pydantic patterns, implement system handshakes, collaborate with data scientists and engineers, and solve evolving integration challenges to enable AI-driven request resolution at scale.