Top Artificial Intelligence Jobs in New Zealand

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.

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.

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 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.

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.

Support design, configuration, and optimization of AI-driven knowledgebase and assistants for Legal, Risk, and Compliance. Maintain AI configurations, refine prompts and algorithms, validate outputs, implement AI capabilities in Archer and GRC systems, perform QA/testing, and partner with stakeholders to improve workflows, data integration, and system performance.

Run focused one-week AI sprints with business teams to identify automation opportunities, build and validate AI-powered prototypes (knowledge bots, RAG systems, agents, web apps), connect tools to data sources, deploy infrastructure (Terraform/AWS/CI-CD), upskill teams via workshops, and hand off validated PoCs to engineering for production.

Lead and grow the mobile and AI platform engineering team to deliver reliable, real-time DNA-based health insights. Own roadmap, delivery predictability, React Native releases, performance, production reliability, AI model orchestration, multi-agent systems, incident response, API contracts, and cross-functional partnerships to ensure scalable, trustworthy AI experiences.

Partner with the CEO/COO to translate strategy into execution, build AI-enabled operating systems, drive cross-functional programs, run OKRs and planning cadences, scale vendor/procurement, and lead high-priority projects end-to-end.

Own the long-term vision, roadmap, and execution of Sequencing's AI platform to turn genomic data into conversational, personalized health guidance. Lead AI-native product strategy, evaluate and productize emerging models and agents, partner with engineering and bioinformatics, run experiments and analytics, and optimize engagement, retention, and trust for mobile and web experiences.

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.