Shape the architecture, the evaluationmethodology, and the technical culture of NAB's AI function
Partner with talented AI engineers, productleadersand domain experts to solve problems across the AI portfolio
Thisis adelivery‐focusedrole for practitioners who thrive beyond experimentation–delivering business outcomes usingadvanced AI capabilities(LLMs, agentic systems)inasafe, repeatable, andproduction‐gradeoutcomes at enterprise scale.
Our people are customer obsessed. They prioritise the needs and satisfaction of the customerabove all else.Our mindset fosters innovation and creates robust, lasting customer relationships as we strive to be the most customer centric company in Australia and New Zealand
In the role of AIScientist,you will jointhe AI teamthat'sdoubling down oncustomer obsession.
Key Responsibilities:
Develop the core components of NAB's agentic AI products: implementing agent reasoning loops, tool use interfaces, memory systems, context management, and orchestration logic.
Translate architectural designs into robust, tested, production-grade implementations, working across the boundary of data science and software engineering.
Partner with Product, Engineering, and Platform teams to translate AI capability into measurable business outcomes.
Design and implement prompting strategies, retrieval pipelines, and context assembly that determine the quality and reliability of agent behaviour.
Embed rigorous evaluation strategies for probabilistic systems, including offline evals, online experimentation, etc.
Ensure AI behaviour is explainable, auditable, and aligned with NAB's Responsible AI principles.
Implement strong observability across AI systems, behavioural drift detection, anomaly monitoring, and incident classification.
Conduct rapid experimentation to test hypotheses about agent design:



what works, what fails, and why; building the empirical evidence base that informs architectural decisions.
What You Bring:
Strong experience delivering applied AI/ML systems into production, with exposure to LLMs and agentic architectures preferred.
Hands‐onexpertisein building automated evaluation pipelines, runtime controls, and CI/CD integration for AI systems.
Experienceoperatingincloud‐nativeenvironments and collaborating incross‐functionalproduct, engineering and risk squads.
Comfort working across ambiguitybalancing speed, safety, and value in complex enterprise environments.
Strong foundations in statistics, probability, and experimental design: you can design rigorous experiments, interpret results critically, and quantify uncertainty
Familiarity with prompt and context engineering, retrieval augmented generation, tool use patterns, and agent orchestration. Direct hands‐on experience is strongly preferred.
Why This Role Matters
Influence how AI is trusted, governed, and scaled acrossNAB.
Shape NAB's next generation of AI platforms by setting technical standards that endure beyond individual use cases.
Combine deep technical craft withenterprise‐levelimpact—delivering AI that customers and regulators can trust.
A diverse and inclusive workplace works better for everyone
We know that our people make us who we are.That'swhy we have built a culture of equity and respect - where everyone feels valued and appreciated for being their authentic selves. In partnership with our multiple Employee Resource Groups (ERGs), we continue to foster an inclusive environment, where all NAB colleagues' unique backgrounds and identities are understood, respected and celebrated. We are committed to providing an environment where you can work your way.
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📌 Ai Scientist (New South Wales)
🏢 National Australia Bank
📍 New South Wales