Position: Data & AI Scientist
Location: London, UK (Hybrid-3 days a week from office)
long term contract position
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
Key Skills/Knowledge:
Data & AI Scientist
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.