Top Artificial Intelligence Jobs in Wellington

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.

Lead Android architecture and infrastructure for Binance mobile apps: design, build, optimize, and maintain high-performance Kotlin/Java applications, create shared libraries and toolchains, collaborate on hybrid JavaScript runtimes, and use profiling and AI-assisted debugging to troubleshoot and improve app performance.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

Lead and build a power electronics team for AI data‑centre energy infrastructure. Own architecture, design, prototyping, validation and productisation of high‑efficiency, reliable resonant converters integrated with batteries. Translate market needs into technical roadmaps, manage R&D lab operations, reduce technical risk, support customer demos and contribute to IP strategy.

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 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.

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.

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.