About the role

Why you would like it:

• Lead strategic AI/ML projects end-to-end 
• Influence responsible AI standards and guardrails 
• Work closely with DS, DE, analysts, and software engineers 
• Build scalable models and real production integrations 
• Plenty of hands-on engineering, not just theory 

The opportunity :
This is a senior, hands-on role for someone who wants to shape how AI is built, deployed, and governed across an organisation. You’ll lead delivery of AI/ML solutions that are robust, scalable, and designed to work in real products and workflows — not stuck in notebooks.

You’ll partner with data science and engineering peers to connect the full chain: data, modelling, MLOps, APIs, and integration. Alongside delivery, you’ll help lift the bar on Responsible AI by contributing to the standards, tooling, and guardrails that make AI safer and more transparent.

Company profile:

A large, modern technology environment with a strong focus on using data and AI to deliver better outcomes. You’ll join a collaborative team that values curiosity, clear thinking, and building things properly—balancing pace with quality and good engineering discipline.

The role:

• Lead the design and delivery of production-grade AI/ML solutions 
• Build, evaluate, and iterate on models (supervised/unsupervised, gen AI) 
• Partner with engineers to integrate models into end-to-end systems 
• Implement strong model lifecycle management and MLOps practices 
• Develop and integrate REST APIs to operationalise ML capabilities 
• Champion Responsible AI: fairness, transparency, safety, and governance 
• Contribute to technical standards, tooling, and policies across the chapter 
• Communicate approach, trade-offs, and outcomes to varied stakeholders 

Your fit:

• Strong foundation in machine learning and statistical modelling
• Proven MLOps/model lifecycle management experience in real environments 
• Cloud experience (Azure and/or AWS), including AI/ML services 
• Confident Python skills and solid engineering practices 
• Experience building/consuming REST APIs for production solutions 
• Comfortable in notebook environments like Jupyter or Databricks
• Able to explain complex technical topics in plain language 
• Enjoys collaborating, mentoring, and setting practical standards 

If this sounds like the kind of AI engineering leadership you want to be doing, apply now.

Please note: Applicants must hold valid working rights in New Zealand and be currently based here.

REF: 19775