Responsibilities

• Design, build and validate agentic AI workflows, including multi‑step reasoning and tool‑use orchestration.

• Analyse agent and model behaviour to assess robustness, safety, error propagation and end‑to‑end decision quality.

• Integrate APIs, external tools, plugins and system connectors required for agent operations.

• Develop and execute evaluation approaches for LLMs and agentic systems, including scenario tests, benchmarks and automated pipelines.

• Assess retrieval components, vector databases, memory systems and workflow reliability.

• Apply Responsible AI principles and regulatory expectations to model behaviour, documentation and control standards.

• Partner with data science, engineering, architecture and risk teams to ensure safe and compliant AI deployment.

• Collaborate with other departments’ data scientists to understand modelling intent, technical assumptions and workflow l...