Senior Software Engineer at Heartland Bank Ltd

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Copilot Studio, Microsoft Fabric, Power Platform, Logic Apps, PowerApps, Custom GPTs, Software Engineering, System Architecture, Agile, Scrum, Kanban, Data Integration, Cloud Services, Responsible AI, Governance

Industry

Banking

Description

Build practical AI. Shape the platform. Ship real outcomes. Kia ora, If you’re a Senior Software Engineer who’s genuinely excited about AI — not as a side project, but as a core part of how systems are built — this could be your next big move. At Heartland, AI isn’t experimental or bolt‑on. It’s foundational. We’re building an AI‑enabled digital platform that will power fully end‑to‑end customer journeys at scale across banking and financial services. And we’re looking for senior engineers who want to roll up their sleeves and help make that real. Why this role is different This is a hands‑on AI engineering role, focused on practical delivery, not theory or hype. You’ll be designing, building, configuring, and operating AI‑driven solutions using modern AI tooling and Microsoft’s ecosystem — delivering real internal and customer‑facing outcomes. You’ll work with: Copilot Studio Microsoft Fabric Power Platform (Logic Apps, PowerApps) Custom GPTs and skills‑based AI solutions Hyperscaler AI services AI‑assisted dev tools like Codex and Cursor You’ll prototype, iterate, ship, and improve — working closely with internal stakeholders to shape credible use cases and turn them into secure, scalable solutions. What you’ll do As a Senior Software Engineer – AI, you’ll: Build applied AI solutions that solve real business problems Design and configure AI solutions using Microsoft Fabric, Copilot Studio, Power Platform, and hyperscaler services Develop custom AI assistants, skills‑based agents, and task‑focused solutions Integrate AI capabilities into enterprise workflows and systems Balance delivery, experimentation, configuration, and enablement Work across Digital, Data, Architecture, Security, and Product teams Ensure solutions meet enterprise, security, and compliance standards Document what you build so others can learn, scale, and extend it Agile experience matters (Kanban, Scrum), but mindset matters more. We’re looking for someone curious, adaptable, delivery‑focused, and genuinely excited to work in the AI era. What we’re looking for Core requirements 12+ years’ experience in software development Bachelor’s degree in Engineering (or higher) Experience transforming business processes into AI automated solutions Hands‑on experience designing, developing, or configuring AI solutions and agents using hyperscalers Practical use of AI‑assisted development tools (e.g. Codex, Cursor) Hands‑on experience with: OpenAI Custom GPTs OpenAI Skills OpenAI Agents and Agent Builder Copilot Studio & Flow PowerApps Logic Apps Microsoft Fabric AI Foundry Strongly preferred Experience integrating AI solutions into enterprise systems Experience operating AI in regulated or security‑conscious environments Exposure to Responsible AI, governance, and risk management Who you are You’re a senior engineer with a delivery mindset who: Loves applied AI more than theory Is comfortable working in ambiguity and fast‑moving environments Can manage multiple initiatives without losing quality Cares deeply about security, reliability, and robustness Communicates clearly with both technical and non‑technical stakeholders Enjoys shaping solutions, not just implementing tickets Why Heartland, why now Heartland is an NZX/ASX‑listed financial services group with ambitious growth plans across New Zealand and Australia. Our strategy is simple and bold: digitalise everything we do so we can deliver faster service, better experiences, and better value for customers. Recently, we welcomed André Sampaio, formerly COO of PwC’s Global AI Factory, to lead the build of our intelligent, AI‑enabled platform. Our engineering model is senior‑only: Small teams High trust Real architectural ownership We work in the office four days a week because the problems are complex, and close collaboration helps us move faster and build better systems. This is AI‑first platform work — simplifying the tech estate and building the foundations our future products and teams will run on. Life at Heartland We’re ambitious, supportive, and constantly evolving. Diversity, inclusion, and wellbeing matter to us, and we actively support internal communities including: Manawa Whenua (our Māori group) Rainbow Committee Diversity & Inclusion Committee Green Team We’re proud to be a Living Wage Employer, a Hearing Accredited Workplace, and a Rainbow Tick organisation. Keen to learn more? Watch our video: https://youtu.be/Sti0louBCw0 Follow us on Instagram @heartlandbanknz Connect with us on LinkedIn: www.linkedin.com/company/heartland-bank-nz You must be eligible to work in New Zealand. If building real AI solutions — not demos, not hype — sounds like your kind of challenge, we’d love to hear from you. Heartland is an innovative and award-winning financial services group. We’re committed to creating a culture of inclusivity that celebrates our diversity and supports the wellbeing of our people. Introduce yourself to our team and we'll get in touch if there's a role that seems like a good match. Across the Heartland group, we’re looking for people who will embrace the opportunities we provide to learn, contribute and make a difference. You’ll find meaningful work and an environment that is fast-paced, rewarding and supportive. The Heartland group is a digital financial services group of companies, which includes Heartland Bank in New Zealand and Heartland Bank in Australia (which includes our StockCo team).

Responsibilities

You will design, build, and operate applied AI solutions using the Microsoft ecosystem to solve real business problems. You will collaborate across digital, data, and security teams to integrate these AI capabilities into enterprise workflows.