Top Artificial Intelligence Jobs in New Zealand

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.

Lead human-centric change and adoption for enterprise AI programs. Design and implement change strategies, stakeholder engagement, learning pathways, communication plans, and adoption metrics to drive measurable uptake across geographically dispersed 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.

Lead AI-driven transformation for global marketing operations: design and implement AI-enabled workflows, automation, governance, and enablement resources; identify high-value use cases; measure KPIs and scale solutions while engaging stakeholders and fostering adoption and innovation.

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

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.

Evaluate AI-generated Computer Science content, create and answer domain-specific prompts, rate technical correctness and reasoning, provide expert feedback to improve LLM performance, and support AI training initiatives.

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.

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.

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.