Top Artificial Intelligence Jobs in New Zealand

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

The GTM AI Specialist role involves building and scaling AI-powered tools and systems, collaborating with multiple teams, and developing RAG architectures to enhance customer and internal workflows.

As General Manager of QA, you will lead QA Automation teams, drive strategic automation and AI initiatives, and manage customer relationships and operations to achieve financial targets.

Lead Demand and Supply Planning functions, optimizing the S&OP process, inventory management, and forecasting accuracy while fostering collaboration across departments.

The Product Manager will guide the Eyecue platform's development, focusing on customer needs and operational excellence for QSRs, collaborating with teams to ensure product feasibility and success.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

Lead the design, development, and deployment of AI solutions focusing on Generative AI. Oversee client engagements and mentor team members while enhancing delivery frameworks and leveraging AI technologies.

The Business Development Executive will generate new business and revenue growth by identifying sales opportunities, presenting proposals, and collaborating with teams to meet client needs.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

Architect and implement Generative AI solutions, analyze performance, and ensure responsible AI practices while collaborating with cross-functional teams.

The Senior AI Applied Engineer will design and deliver AI-powered features, improve development tools, and work collaboratively across teams to innovate products.

Lead global SEO strategies focusing on AI and generative engine optimisation, while ensuring readiness across various media formats. Influence content and product strategies.

Drive enterprise-wide AI literacy and adoption through strategic partnership, workforce enablement, and hands-on support, managing use cases, and overseeing organizational AI capabilities.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

The AI Architect will design scalable AI solutions, lead project delivery, develop enterprise strategies, and mentor teams. Responsibilities include ensuring compliance, optimizing performance, and fostering innovation through workshops.

The intern will assist in integrating AI technologies into gaming, conduct market research, and design innovative applications of AI agents.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Support SEO/SEM efforts for AI image generation site by optimizing content, conducting data analysis, and collaborating with cross-functional teams.

The Senior SEO & AI Content Specialist will optimize content for search engines and AI platforms, build AI workflows, and enhance Superside's content strategy.

The AI Technical Specialist will manage, configure, and develop AI tools and platforms, integrate AI into business systems, and promote AI literacy across the organization while exploring new capabilities.

The Machine Learning Engineer will develop and evaluate models, build training pipelines, and enhance performance in a generative media platform, collaborating with teams on AI features.

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 Quality Assurance Lead will develop advanced QA solutions for AI applications, implement test automation frameworks, and collaborate with cross-functional teams to ensure quality in AI systems.

The Tech Lead will guide the team in .NET and React development, ensuring high code quality and mentoring developers. Responsibilities include architecture design, project planning, and fostering team collaboration while actively coding.