AI Solutions Engineer - RAG - Python - LLM - Wealth Management An exciting opportunity has arisen for an ambitious, hands-on AI Solutions Engineer to play a key role in shaping how Generative AI is used across a leading wealth-management environment. You''ll take real business challenges and turn them into practical, production-ready AI solutions, working across RAG, LLMs, Agentic AI and Python to create applications that genuinely improve how teams work. You will work closely with business users and colleagues across AI, IT, Data, Cyber, Risk and Compliance, taking ownership from discovery and rapid prototyping through to testing, deployment and continuous optimisation. Key responsibilities: Build, test, deploy and maintain Generative and Agentic AI applications that address defined business problems and operate within agreed architecture, security and governance standards Work directly with users and subject matter experts to understand workflows, gather requirements, clarify acceptance criteria and iterate solutions based on feedback Develop agents and multi-step AI workflows using model APIs, structured outputs, tool/function calling, state and memory, human-in-the-loop controls, retries and error handling Build RAG and enterprise knowledge solutions, including document ingestion, chunking, embeddings, vector/semantic/hybrid search, metadata filtering, grounding and citations Integrate AI solutions with internal systems, APIs, data sources and enterprise services using ..... full job details .....