Overview
A delivery‐focused role for practitioners who thrive beyond experimentation – delivering business outcomes using advanced AI capabilities (LLMs, agentic systems) in a safe, repeatable, production‐grade environment at enterprise scale.
Working at the frontier of applied AI globally within a growing enterprise AI Centre of Excellence, you will shape the architecture, evaluation methodology, and technical culture of NAB's AI function.
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 and online experimentation.
* Ensure AI behaviour is explainable, auditable, and aligned with NAB's Responsible AI principles.
* Implement strong observability across AI systems, including behavioural drift detection, anomaly monitoring, and incident classification.
* Conduct rapid experimentation to test hypotheses about agent design, building an 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‐on expertise in building automated evaluation pipelines, runtime controls, and CI/CD integration for AI systems.
* Experience operating in cloud‐native environments and collaborating in cross‐functional product, engineering, and risk squads.
* Comfort working across ambiguity, balancing speed, safety, and value in complex enterprise environments.
* Strong foundations in statistics, probability, and experimental design: ability to design rigorous experiments, interpret results, 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 across NAB.
* Shape NAB's next generation of AI platforms by setting technical standards that endure beyond individual use cases.
* Combine deep technical craft with enterprise‐level impact—delivering AI that customers and regulators can trust.
Diversity & Inclusion
A diverse and inclusive workplace works better for everyone. We build 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.
Equal Employment Opportunity
NAB is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or any other protected characteristic.
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