As a proud Kiwi born and bred insurer, we pride ourselves in challenging status quo - and move fast to make things happen. We're here to create beautifully simple, rewarding experiences for our customers and communities, and we're working hard to protect the future of Aotearoa.

At its heart, insurance is about helping people through the unexpected. Doing what's right for our customers - especially in tough times - gives real purpose to our work.

Your day-to-day would look like:

• Designing and delivering AI solutions by building robust, scalable, and secure AI systems at Tower, leveraging machine learning, generative AI, and agentic AI to solve real business problems.
• Operationalising and optimising models by supporting the deployment, monitoring, and continuous improvement of AI solutions, ensuring reliability, performance, and alignment with business needs.
• Embedding modern engineering practices by driving adoption of MLOps and best-practice engineering standards to enhance collaboration, efficiency, and sustainability across the team.

In your first 6-12 months, success will look like:

• Designing, building, testing, and deploying AI/ML solutions aligned with Tower’s platforms and engineering standards.
• Creating and maintaining data, model, and deployment pipelines to enable reliable training, monitoring, and continuous improvement.
• Supporting generative AI, LLM, and agentic AI use cases, including context engineering and integration patterns.
• Working with AI engineers, data scientists, and analytics teams to deliver solutions that solve real business problems.
• Ensuring compliance with security and risk standards, contribute to documentation, and define operational support runbooks.

To thrive in this role, you'll need:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
• 3+ years’ experience in Senior AI Engineering, machine learning engineering, MLOps, software engineering, or a related technical role.
• Hands-on experience with cloud platforms, source control, CI/CD, and production support for data or AI solutions.
• Experience working in cross-functional teams to deliver technical solutions in a pragmatic and customer-focused way.
• Relevant knowledge of statical data analysis methods.
• Experience building, deploying, and supporting AI or machine learning solutions in production environments
• Strong technical capability in C# and Python and experience with cloud-based AI/ML tooling, preferably including Azure AI Foundry, Azure ML Studio and modern MLOps practices.
• Knowledge of model lifecycle management, monitoring, testing, version control, and release processes preferably including GitHub issues, pull requests, agents, actions and projects.
• Understanding of generative AI, large language models, context engineering, and emerging agentic AI concepts.
• Experience building agentic solutions with modern frameworks preferably Microsoft Agent Framework, Autogen, Semantic Kernel or LangGraph.
• Able to work independently while collaborating effectively with diverse stakeholders, demonstrating strong problem-solving, planning, communication skills, and a continuous improvement mindset.

We invest in you.

We're serious about looking after our people. Along with a competitive salary, we offer a bunch of perks and benefits to support you and celebrate the work you do:

• 26 weeks of paid parental leave for the primary carer and 4 weeks for partners
• A paid day off on your birthday
• 22 days annual leave, plus two extra annual leave days and the option to buy up to eight more
• Wellness leave - no need to justify your mental health day
• Career growth and internal progression opportunities
• Flexible working and a beautiful, modern office in Auckland
• Discounts on Tower insurance products
• Free life insurance

Ready to Apply?

If this sounds like your kind of role, we'd love to hear from you.

We're looking for someone who's excited to help shape a new era of insurance - someone who's ready to make a real impact. If that's you, send us your CV and a cover letter that shows us what you're all about.

We're reviewing applications as they come in - so don't wait too long. Apply now and let's chat.