The Role
Lead the end-to-end design, delivery, and operation of secure, scalable AI solutions. Build production AI services on Azure, establish monitoring and guardrails, evaluate agent behavior and tool use, and automate business workflows. Review and harden AI-generated code, infrastructure, and pipelines while maintaining strong testing, security, data protection, and cost-effectiveness. Design agentic workflows and retrieval solutions across the technology stack.
Summary Generated by Built In
The Opportunity:
- We’re on the lookout for a Senior AI Engineer to join our dynamic ITS- AI team and lead the design and delivery of transformative AI solutions. If you're passionate about building intelligent systems that are scalable, secure, and drive firm value — this is your opportunity to make a real impact.
Day To Day You Will:
- Leverage AI tooling like Copilot to accelerate delivery, while critically reviewing and hardening the infrastructure, pipelines, and code it produces.
- Lead AI implementations end-to-end, delivering to established technical direction and standards for how AI-assisted work is reviewed, secured, and shipped.
- Identify where AI can genuinely improve business workflows, and deliver solutions that automate and streamline them with measurable impact.
- Design and secure AI solutions with strong data protection and access controls.
- Own AI services in production, building the monitoring, guardrails, and evaluation that keep AI dependable and measurable.
About You:
- Strong proficiency in Python and TypeScript/JavaScript, fluent enough to read, reason about, and verify code deeply, including what AI generates.
- Proven experience building and running production systems end-to-end, with hands-on CI/CD, cloud, and security foundations that let you direct and validate AI-generated work, not just produce it.
- Strong cloud and AI engineering fundamentals, especially Azure, deploying and operating hosted model services (e.g. Azure AI Foundry / Azure OpenAI) reliably and cost-effectively.
- Keeps code maintainable and well-tested, whether hand-written or AI-generated, so a growing codebase stays safe to build on.
- Hands-on experience testing and evaluating AI systems, including agent behaviour, tool use, and multi-step trajectories, to measure quality and catch regressions before release.
- Familiarity with designing agentic workflows and orchestrating tool-using agents, and the trade-offs across RAG and retrieval approaches.
- A versatile, pragmatic engineer who moves easily across the stack and enjoys taking on unfamiliar problems.
Recruitment Agencies: The recruitment for this role is being managed directly by the KPMG Talent Acquisition team. We will contact our preferred agency partners if we require agency assistance. Thank you for your understanding.
Life at KPMG
KPMG values diversity in the workforce and we encourage candidates from diverse backgrounds to apply for roles, including individuals with a disability, additional mental health needs, chronic health conditions or who identify as neurodivergent.
For disabled and neurodiverse candidates, if you encounter accessibility barriers or if you have access needs and require support to participate equitably in the recruitment process, please email Emma at [email protected].
For any general questions about the role or recruitment process, feel free to reach out to our Talent Acquisition team at [email protected].
We offer rewarding careers to talented individuals and a holistic range of benefits to support your life balance, whatever your circumstance. We want you to do Work That Matters, Thrive and Grow and know that you Belong here with us, at KPMG.
As a KPMG employee, we will offer you:
— Access to the firm's annual incentive scheme
— Opportunities for local and international secondments
— Hybrid working across a mix of office, client and home hubs to recognise that people have individual circumstances and preferences when it comes to where and how they work
— The ability to work from overseas and extend time connecting with friends and family outside New Zealand
— Flexible leave options, including the ability to purchase additional annual leave
— Gender-neutral support for all stages of the parental journey, including access to 18 weeks of fully paid parental leave for all new parents
— A paid professional association membership of your choice
— Digital accreditations through our partnership with Microsoft, LinkedIn Learning, with bespoke learning pathways for all employees
— A wide-range of special offers and discounts on insurances, banking services, and lifestyle goods and services
— The support, allyship and opportunity to join our many Inclusion, Diversity and Equity Affinity networks, including the Kiwa, Pride, Ethnicity, Accessibility and Wahine groups
— The opportunity to participate in Green Team activities, as we work toward reducing the firm’s environmental footprint and become carbon zero by 2030
— An invitation to join your local Social club and enjoy events aimed at bringing people together for social, sporting, cultural, family and fundraising activities
— Paid time off for volunteering and involvement in citizenship activities
— An array of health and wellness benefits such as free flu vaccinations, subsidised sporting events, free confidential counselling services, additional 5 days of Wellbeing leave to support you and your family's overall health and wellness, access to our Wellbeing portal with an extensive range of advice and resources and much much more!
We believe that diversity of background and experience strengthens relationships and delivers meaningful benefits to our people, clients and communities. Our goal is to be recognised as an employer of choice for all, irrespective of gender, ethnicity, generation, flexible work status, family circumstances, sexual orientation or disability. Further info can be found on our website.
Skills Required
- Strong proficiency in Python and TypeScript or JavaScript
- Experience building and operating production systems end-to-end
- Hands-on CI/CD, cloud, and security foundations
- Strong Azure and AI engineering fundamentals
- Experience deploying and operating hosted model services, such as Azure AI Foundry or Azure OpenAI
- Experience testing and evaluating AI systems, including agent behavior, tool use, and multi-step trajectories
- Familiarity with agentic workflows, tool-using agent orchestration, RAG, and retrieval approaches
- Ability to write maintainable, well-tested code and review AI-generated code
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The Company
What We Do
KPMG New Zealand is one of the world's leading professional services organizations, operating as part of a global network of professional firms. The company provides a comprehensive suite of audit, tax, and advisory services to a diverse range of clients, including private individuals, small and medium-sized enterprises (SMEs), multi-national corporations, and government agencies, helping them achieve their business goals and ensure regulatory compliance.
