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One NZ

Principal AI Solution Engineer

One NZ is hiring a Principal AI Solution Engineer in Auckland, New Zealand. Level rates it ; you can apply on One NZ.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting mentions prompt engineering, RAG and LLM integration among its tools and skills.
  • Level classes it as a lead role.
  • One NZ has 20 other open roles on Level.
  • Posted within the past two weeks.

AI in this role

prompt-engineeringragllm-integrationai-agents

He aha ai tātou – Why us?

At One NZ we’re not just imagining the future, we’re building it. Our purpose? A better-connected Aotearoa New Zealand. Kia renarena te taukaea i Aotearoa New Zealand.

Our ambition? To become the most AI-enabled telco on the planet. This isn’t just about our technology, It’s about you. We’re investing in our people like never before.... empowering them to grow, lead, and shape what’s next.

Through our AI School, access to world-class learning platforms, or career pathways that evolve with you, we create an environment where your curiosity thrives, and your skills accelerate.

Join us and be part of something extraordinary: connect with purpose and help redefine what’s possible.

 

Uia mai koe te pātai, he aha te mea nui o tēnei ao? Māku koe e ki atu he tangata, he tangata, he tangata.


“If you asked me, what is the greatest thing in this world, I would say it is people, it is people, it is people.”

Ko tō tūranga – your role

As the Principal AI Solution Engineer your role is to collaborate closely with business stakeholders and engineering teams to understand needs and develop highly performant, scalable AI and data solutions that support One NZ’s business strategies. As a key member of the AI & Data Engineering team, you’ll provide hands-on technical leadership across complex initiatives, own and uplift AI solution engineering craft, and help shape the technical patterns, frameworks and delivery practices that enable One NZ to become the most AI-enabled telco in the world.

Ko tō mahi – what you’ll do

  • Own the detailed technical solutioning and execution of AI engineering strategy and initiatives.
  • Translate technical strategy, standards and architecture into practical implementation plans and executable solution designs.
  • Provide hands-on technical leadership across complex delivery streams, ensuring solutions align to agreed standards, patterns and architectural direction.
  • Develop, maintain and champion reusable AI, data, cloud and software engineering patterns that support consistent delivery across squads.
  • Mentor and uplift engineers through pairing, design reviews, technical coaching, knowledge sharing and structured development planning.
  • Maintain and reinforce AI engineering frameworks covering solution design, coding standards, DevOps and AgentOps practices, prompt and agent patterns, lifecycle management, observability, evaluation, governance and production readiness.
  • Rapidly prototype and test new technologies, approaches and solution patterns to validate feasibility and reduce delivery risk.
  • Ensure AI solutions are secure, safe, scalable, observable, performant, explainable, reliable, cost-aware and production-ready.
  • Guide technical decision-making, resolve delivery blockers and provide clear recommendations on feasibility, trade-offs, risks, investment choices and delivery approach.
  • Produce clear technical designs, decision records, implementation guides, runbooks and knowledge-sharing materials.
  • Define and uplift the AI Solution Engineering craft, including capability standards, development pathways, certification plans and engineering quality practices.

Na tōu rourou - what you’ll bring

  • Deep hands-on expertise across AI solution engineering, GenAI, LLM integration, agentic workflows, prompt engineering, retrieval augmented generation, APIs, automation, cloud platforms, DevOps, AgentOps and modern software practices.
  • Proven technical leadership skills, with the ability to coach, motivate and develop technical professionals through teaching, feedback, mentoring and structured development planning.
  • Experience with AWS Agentcore is essential for the role.
  • Strong understanding of AI solution patterns, including LLM orchestration, RAG, agent design, tool use, workflow automation, human-in-the-loop design, evaluation frameworks, vector stores and enterprise integration patterns.
  • Strong knowledge of software engineering principles and modern programming environments, including Python, APIs, CI/CD, testing, data quality, metadata, semantic layers, knowledge retrieval and access control.
  • Proven hands-on experience working with cloud and AI platforms, ideally including AWS, enterprise AI platforms, orchestration tools, vector databases, monitoring tooling and integration with existing data platforms.
  • Ability to turn strategy, standards and high-level architecture into practical implementation plans and working solutions, balancing engineering outcomes with cost, risk, timeframes and business value.
  • A responsible approach to data and AI use, with strong awareness of cyber security, privacy, compliance, governance and operational risk.
  • Systems thinking and problem-solving skills, with the ability to work through ambiguity and create pragmatic, scalable solution options.
  • Clear technical communication and influencing skills, with the ability to explain design decisions, challenge direction constructively and bring teams along collaboratively.

Nā mātou te rourou – what you’ll get

  • One New Zealand is leading the way by ensuring you can have a truly balanced life.  Most roles allow flexibility to work from home and flex your hours to enjoy work & whānau commitments.
  • A fully subsidised Southern Cross health insurance cover for you and your family.
  • Lifestyle leave, giving you the option to purchase an extra week or two of annual leave.
  • Discounts on One New Zealand products, services and much more!

 

We are proudly Rainbow Tick certified and champion diversity of thought, perspective and background. Joining our whānau is more than starting a new job - it’s the beginning of a journey that will challenge and inspire you to play a role in something bigger.

 

Tū hikitia rā, tū hāpainga. Tū hāpainga, tū hikitia rā.
We stand to uplift, to support and to elevate others.

 

#LI-DW1

How we rate this

Principal AI Solution Engineer at One NZ rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGLLM IntegrationAI agents

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How have you integrated a large language model into a production application?
  4. How do you decide when an AI agent can act on its own versus asking for approval first?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, RAG, LLM Integration, and AI agents. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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