Data & AI Scientist

Program Scope: • Developing and provisioning of infrastructure that support agentic workflows across both Azure and GCP • Data science expertise to help shape the agentic solution design of Coach AI as well as target state AI Assistant • Creation of agent integration patterns to fulfil and action on behalf of customers by leveraging Bank systems • Development of new AI products for the Conversational Banking Lab, including but not limited to: • Agent summarisation - bespoke features to summarise nuanced conversations • App search evolution - transforming the existing vector search functionality into a fully generative experience and transition to single experience point • Evaluation methods - continued automation of both deterministic and generative conversations in a scaled and simulated way Must haves • Python literacy - min 2years+ working on production grade LLM based applications • AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks • AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring Nice to haves • Responsible AI - strong understanding of AI ethics, risks and mitigations incl. guardrail development • Exposure to Agile/Scrum methodologies.