AI Scientist

September 1, 2026
Application ends: December 1, 2026
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Job Description

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‑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: 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.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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