Technical AI Business Analyst

Summary: The Technical AI Business Analyst role focuses on delivering production-grade GenAI solutions within a financial institution's Treasury and Liquidity function. The position requires collaboration with AI engineers and subject matter experts to define use cases and translate business needs into technical workflows. The analyst will work with multi-agent architectures and document-based AI solutions, ensuring effective integration and deployment of AI systems. This role is hybrid, requiring 1-3 days on-site in London.

Key Responsibilities:

• Define end-to-end use cases involving multi-agent AI systems in collaboration with AI engineers and Treasury SMEs.
• Translate business needs into detailed technical workflows using LangGraph.
• Shape document-based GenAI solutions, including RAG pipelines and prompt engineering.
• Orchestrate tools using OpenAI function calling, vector databases, and knowledge graphs.
• Collaborate on the deployment of AI agents as secure microservices using Azure Kubernetes Services (AKS).
• Draft structured documentation, user manuals, and internal process maps for end users and engineering handover.

Key Skills:

• Strong experience with LangChain, LangGraph, or equivalent multi-agent orchestration frameworks.
• Solid understanding of RAG architecture, including chunking strategies and prompt design.
• Proven ability to define and coordinate agent interaction protocols within LLM systems.
• Experience integrating OpenAI models with enterprise data via APIs.
• Comfortable deploying systems in Azure with CI/CD awareness.
• Ability to bridge the gap between conceptual use cases and deployed AI solutions.
• Background in Treasury, Liquidity, or financial services is ideal but not essential.

Salary (Rate): £75.00

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Mid-Level

Industry: IT