AI Enablement Lead at Bank of New Zealand

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

07 Sep, 26

Salary

0.0

Posted On

09 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Delivery Leadership, GenAI Concepts, LLMs, Retrieval-Augmented Generation (RAG), Prompt Engineering, Agent-based Patterns, Agile Methodologies, Software Engineering Fundamentals, SDLC, API Integration, Cloud Platforms, CI/CD, Stakeholder Management, Technical Feasibility Assessment, Project Leadership, Influencing

Industry

Banking

Description

Worker Type: Permanent Here at BNZ, it's about more than just banking. We work together in an agile, energising environment to create innovative solutions through our promise "If you can imagine a better future, let's find a way." We support wellbeing, flexible working and have a generous leave offering. There is the opportunity for growth, learning and career development. No two days are the same. We have a fantastic opportunity for an experienced technical delivery lead to join the AI team building our capability across BNZ as AI Enablement Lead. Mō te Tūranga | About the Role The AI Enablement Lead is an embedded technical delivery role accountable for AI‑enablement and achieving measurable outcomes. Beyond delivering AI initiatives end-to-end, the role is a force multiplier. It influences how our AI platforms evolve, champions the adoption of emerging tools and patterns, and builds capability on both sides of the house — engaging engineers to work effectively with AI, and helping business teams identify and shape high-value use cases. We're looking for someone who's comfortable working inside a technical team but can also operate effectively out in the business — credible with engineers and stakeholders alike. We sat down with our Head of Technology – Artificial Intelligence, who shared the following about the role. What are some of the responsibilities for this role? Acting as the primary AI technical lead within a business unit, partnering closely with stakeholders to identify, shape, and prioritise AI use cases aligned to business outcomes. Acting as a technical link between the business and the central AI and platform teams — facilitating technical discussions, and feeding real-world delivery insight back into platform strategy and roadmap decisions. Owning the translation of business problems into deliverable AI initiatives, working with solution architects to design appropriate approaches and ensure alignment to approved platforms and patterns. Driving delivery by coordinating with programme and tech leadership to secure priority, funding, and the right delivery resources (e.g. business analysts, solution architects, engineers). Leading AI initiatives through delivery, accountable for progress, quality, and ensuring solutions are successfully implemented into live operations. Driving adoption of new AI tools and patterns, and championing the technical uplift needed for teams to use them well. What is the most exciting thing about this opportunity? This is a fast-paced opportunity with real momentum behind it. There’s strong organisational support allowing you to work at the cutting edge of agentic AI. You’ll be part of a phenomenal team and gain exposure to diverse teams and use cases across BNZ, shaping how AI is delivered safely and effectively at enterprise scale. What is the most challenging thing about this opportunity? The biggest challenge is the pace of change in the agentic AI space. The technology, patterns, and best practices are evolving rapidly, requiring you to stay current while still delivering meaningful progress in the here and now. It also means continually challenging your own assumptions - making informed decisions based on what is known today, while accepting that those decisions may need to be revisited as the landscape shifts. What will success look like for the candidate in this role? Success means AI initiatives within assigned business domains are delivered, adopted, and creating real value, with strong support from both business and technology teams. Specifically, the candidate will: Be trusted as the embedded AI delivery lead and partner within the business. Build strong relationships across business and technical teams, bringing people along the AI journey and building confidence through real outcomes. Act as a credible technical link to central AI and platform teams, developing a deep understanding of available tools and patterns. Translate domain needs into clear delivery priorities and feedback that informs platform capability and roadmap decisions. Take priority problems through to production AI solutions, mobilising the right resources and driving delivery across squads. Ensure solutions are embedded into day‑to‑day processes and actively used. Provide clear visibility of progress, risks, and outcomes. What specific tech skills would be beneficial? We are looking for an experienced delivery lead with proven project leadership and technical leadership skills. Alongside this you will bring: Strong interpersonal and communication skills, including influencing Experience in Agile ways of working, enabling and supporting Agile delivery, and translating Agile delivery methodologies into Enterprise reporting Ability to operate as a hands-on delivery lead - comfortable working directly with engineers, BAs, and business SMEs rather than managing at arm’s length. Strong hands‑on understanding of modern GenAI concepts, including LLMs, embeddings, retrieval‑augmented generation (RAG), prompt engineering, and agent‑based patterns. Practical experience applying AI capabilities within real delivery contexts (e.g. integrating AI into existing systems, workflows, and products rather than standalone experimentation). Solid grounding in software engineering fundamentals and SDLC practices, including APIs, data flows, cloud platforms, CI/CD, and production deployments. Ability to assess technical feasibility, risks, and architectural fit in partnership with solution architects and platform teams. Nice to have Experience working with AI platforms and toolkits (e.g. model services, orchestration layers, evaluation tooling, guardrails) and understanding their trade‑offs and constraints. Understanding of responsible AI, security, and risk considerations when deploying AI in regulated environments. Nau Mai ki te Pēke o Aotearoa | Come to the Bank of New Zealand This is an exciting opportunity to join us! We're bold thinkers who are taking brave steps to create a company that people want to work for, and customers want to bank with. If you're ready to join a fun organisation where we are proud of our culture and how we are helping New Zealander's to 'Find their way', then show your interest by submitting your application - we can't wait to read it. Ehara taku toa i te toa takitahi, engari he toa takitini" - Success is not the work of an individual, but the work of many.” Closing Date: 22 June 2026 Applications will be reviewed regularly across the advertising period, but we do reserve the right to close applications early. Welcome to BNZ Careers! We are excited for you to apply for a role with us. We're the bank for New Zealand. Our purpose is to serve customers well and help our communities prosper. Every day we find ways for our customers, our people, and our communities to thrive through strong values, diverse teams, and great people - just like you.

Responsibilities

The AI Enablement Lead acts as a technical bridge between business units and central AI teams to identify and deliver high-value AI use cases. They are accountable for the end-to-end delivery of AI initiatives and driving the adoption of emerging AI tools and patterns across the organization.