Top Artificial Intelligence Jobs in Wellington

Lead full-stack engineering for foundational Practice Tools systems, delivering billing changes, Xero Partner Hub rollout, legacy system retirement, authorization improvements, and reliable infrastructure. Build with React and JavaScript or TypeScript alongside Java or .NET, manage CI/CD, monitoring, and alerting, and drive adoption of AI-assisted and agentic development workflows. Mentor engineers and guide technical methodology while progressing toward senior technical leadership.

Provides senior technology consulting and technical leadership for HPC and AI deployment solutions. Designs enterprise architectures, leads cross-functional implementation teams, resolves complex multi-vendor technology issues, advises senior customer IT leadership, and supports proposals and sales activities. Develops reusable solutions, creates project plans and architecture specifications, presents at technical conferences, mentors consultants, and cultivates strategic customer relationships.

Leads the Reserve Bank’s technology strategy, enterprise architecture practice, governance, roadmaps, and emerging technology adoption. Drives AI deployment and AI-enabled business transformation, evaluates digital assets and financial technologies, and provides technology leadership for strategic initiatives including Payments Modernisation. The role influences senior stakeholders, leads high-performing teams, and translates complex technology opportunities into business value while building a sustainable performance culture.

Develop and execute enterprise partner sales strategy across ASEAN, recruiting and enabling SIs, consulting firms, ISVs, and VARs. Drive partner pipeline, revenue, and ecosystem growth; manage targets, deal conversion, performance reporting, and cross-functional partnership programs. Build trusted partner and customer relationships, represent the company at industry events, and support deployment of AI agents and the platform. The role requires independent execution, strategic thinking, strong communication, and travel of up to 40%.

Designs, builds, deploys, and supports AWS cloud environments for diverse customers. The role focuses on infrastructure automation, Infrastructure as Code, DevOps, observability, security governance, incident and problem management, cloud optimization, and continuous service improvement. Responsibilities include advising customers, enabling cloud adoption, supporting mission-critical production environments, contributing to platform strategy, and participating in an after-hours on-call roster.

Leads BDO’s enterprise Talent Management and Workforce Insights portfolio, including total rewards, people analytics, organizational development, HR operations, and service delivery. Translates people strategy into measurable business outcomes, advances workforce data governance and analytics, modernizes HR processes through technology and AI, and strengthens leadership, organizational effectiveness, performance, wellbeing, and succession. Advises senior leaders, leads specialist teams, and drives integrated, scalable people programs across the firm.

Leads Cashalo’s 11–12-person backend and mobile engineering team while advising the Philippines GM. Owns ambiguous, cross-market business problems, drives experiments and solutions, and applies proven engineering and product patterns to regional needs. The role requires strong engineering leadership, product judgment, startup experience, AI-enabled workflows, and the ability to engage technically with Staff+ engineers. It is fully remote across Australia, Singapore, or the Philippines, with quarterly travel to the Philippines.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Lead strategy and execution for Xero’s AI Shared Services platform, including eventing, communications, search, and related reusable capabilities. Define the domain roadmap, establish success metrics and dashboards, build stakeholder relationships, and drive adoption across product and engineering teams. The role requires managing interdependent platform products, applying technical fluency across distributed systems and cloud environments, making investment cases, navigating ambiguity and dependencies, and growing high-performing people and teams.

Lead the strategy, development, and scaling of shared platforms and operating models for AI-native delivery. Align stakeholders, establish roadmaps and governance, measure adoption and organizational impact, and move AI workflows from pilots into repeatable products. Partner with Engineering, Security, Data, and other teams while coaching teams in effective AI product practices and translating complex technical capabilities into investment decisions.

Leads enterprise Data and AI governance at NZTA by setting strategy, frameworks, policies, controls, accountability, and operating models. The role promotes responsible innovation, Māori data sovereignty, privacy, security, risk management, data stewardship, metadata, lineage, quality, and AI oversight. It influences senior stakeholders across technology, legal, risk, business, and delivery functions while building governance capability, assurance, and sustainable organisation-wide practices.

Own an enterprise agricultural sales territory, generating pipeline and closing high-value deals with growers, farm-management companies, and institutional landowners. Responsibilities include prospecting, discovery, in-field demonstrations, ROI development, negotiation, forecasting, CRM management, account expansion, and coordination with deployment and customer success teams. The role requires strong agricultural knowledge, enterprise sales experience, independent territory development, and approximately 25% travel.

Build and maintain production data pipelines ingesting from SAP, POS, logistics and marketing systems. Migrate legacy pipelines to modern architectures, monitor and improve data quality, support platform infrastructure, collaborate cross-functionally, document processes, and apply automation and AI to improve workflows.

Designs and maintains scalable data pipelines, platform infrastructure, and backend services supporting AI Agent systems. Builds monitoring, alerting, observability, and data-quality capabilities while integrating distributed systems, databases, and message queues. Collaborates with AI, product, DevOps, frontend, and QA teams, and supports existing services to ensure stability and continuity.

Own and develop production data pipelines across SAP, retail, logistics, and marketing systems. Design scalable architectures, migrate legacy pipelines, model data for analytics and AI, and implement testing, observability, alerting, governance, and automation. Partner with business stakeholders to create trusted datasets, improve platform infrastructure, and mentor junior engineers. The role requires strong SQL and Python, dbt, cloud data platform experience, orchestration, production debugging, and end-to-end ownership.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, reasoning quality, usefulness, and trustworthiness. Provide clear written feedback, distinguish response quality levels, and explain assessments through short videos. The role requires senior-level software engineering experience, strong TypeScript/JavaScript or Python skills, familiarity with AI-assisted development workflows, and the ability to make rigorous, opinionated judgments without reviewing every line of code.

Leads complex AI and business process transformation sales opportunities across assigned customers. Responsibilities include executive discovery, solution envisioning, business value assessments, competitive positioning, proposal development, business-case creation, partner coordination, and transformation roadmap development. The role builds senior stakeholder relationships, advances qualified pipeline revenue, aligns customer success plans and KPIs, and serves as a trusted specialist for Microsoft Business Applications, Copilot, Dynamics 365, Power Platform, and AI solutions.

Manage complex employee exits across international jurisdictions, ensuring legal compliance, accurate documentation, confidentiality, and a high-quality client experience. Provide first-level employee relations guidance, assess workplace concerns, advise on discipline and investigations, and lead difficult conversations, negotiations, and termination processes. Coordinate with payroll, legal, benefits, and other stakeholders while mentoring junior colleagues. Drive process improvements, automation, product development, and customer experience initiatives in a remote, international environment.

Join Welo Data’s global contributor network for flexible, remote AI projects involving text, image, or audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Applicants must be native or near-native English speakers based in New Zealand and comfortable using digital tools.

Manage and optimize Google and Meta Ads campaigns, develop paid acquisition strategies, analyze performance, and validate AI-generated recommendations. Advise clients on performance marketing, branding, creative, and growth strategy while building strong relationships. Collaborate with analytics, tracking, Google Merchant Center, and dashboarding specialists. This is a remote, freelance, part-time engagement of approximately 15 hours weekly for six months.

Own the APAC payroll function, ensuring accurate, timely, and compliant payroll processing across countries. Lead, mentor, and support the payroll team; manage internal, external, and third-party payroll service relationships; monitor international payroll regulations; and implement best practices, KPIs, and SLA metrics. The role requires strong regional payroll expertise, analytical problem-solving, process improvement, stakeholder management, and proficiency with SAP and spreadsheet tools in a remote, asynchronous environment.

Develop realistic backend coding challenges, including feature implementations and bug fixes, for AI training projects. Design deterministic verifiers, automated tests, and validation criteria that distinguish correct from incorrect solutions. Evaluate code for correctness, reliability, maintainability, security, and performance while identifying edge cases and bottlenecks. Work independently with backend technologies and refine tasks based on project requirements and quality standards.

Debug and improve diverse codebases by fixing software defects, identifying vulnerabilities, conducting security assessments, refactoring legacy code, and optimizing secure backend systems. The specialist will document technical findings and contribute cybersecurity and software engineering expertise to AI training datasets. Work is fully remote and requires independent execution across project specifications.

Participate in smart contract audits for ERC token contracts, identifying security vulnerabilities and attack vectors. Develop AI and LLM-based tools to automate vulnerability detection and improve audit coverage. Analyze Web3 security incidents, including root causes, vulnerability types, and impacts, to optimize audit processes. The role requires Solidity proficiency, knowledge of EVM internals and ERC standards, and familiarity with Ethereum, BSC, DeFi, and L1/L2 architectures.

Own post-sale relationships for B2B software customers, managing onboarding, AI agent configuration, integrations, testing, troubleshooting, adoption, retention, and account expansion. Monitor account health, resolve issues quickly, document customer interactions, lead implementation and check-in calls, and provide product feedback. The role is fully remote and requires availability during US business hours.