£800 Per day
Inside
Hybrid
London
Summary: The AI Agent Engineer role at a leading global financial institution involves developing intelligent automation solutions focused on Market Risk QA and testing processes. The position requires strong expertise in Python and various AI frameworks, with a focus on delivering scalable and compliant solutions on Azure. The role is contract-based for an initial period of 12 months and requires collaboration with multiple teams to ensure governance and operational controls. The position is based in London with a hybrid working arrangement of three days onsite per week.
Key Responsibilities:
- Design and build AI agents to automate Market Risk testing workflows.
- Integrate with existing systems and MCP infrastructure.
- Deliver scalable, secure, and compliant AI solutions on Azure.
- Collaborate with Risk, QA, Engineering, and Architecture teams.
- Ensure governance, auditability, and operational controls are embedded throughout the solution life cycle.
Key Skills:
- Strong Python development experience.
- Hands-on experience with LangChain, LangGraph, and agentic AI frameworks.
- Experience with MCP (Model Context Protocol) and LLM integration.
- Azure OpenAI and Azure AI Foundry expertise.
- Experience building scalable AI solutions within enterprise environments.
- Understanding of AI governance, security, auditability, and compliance controls.
- Ability to work within regulated environments and deliver robust technical documentation.
Salary (Rate): £800/day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Location: London (3 days per week onsite)
Contract: Initial 12-month contract
Rate: Up to £800/day (Inside IR35)
A leading global financial institution is seeking an AI Agent Engineer to develop an intelligent automation solution focused on Market Risk QA and testing processes.
Key Requirements
- Strong Python development experience.
- Hands-on experience with LangChain, LangGraph, and agentic AI frameworks.
- Experience with MCP (Model Context Protocol) and LLM integration.
- Azure OpenAI and Azure AI Foundry expertise.
- Experience building scalable AI solutions within enterprise environments.
- Understanding of AI governance, security, auditability, and compliance controls.
- Ability to work within regulated environments and deliver robust technical documentation.
Responsibilities
- Design and build AI agents to automate Market Risk testing workflows.
- Integrate with existing systems and MCP infrastructure.
- Deliver scalable, secure, and compliant AI solutions on Azure.
- Collaborate with Risk, QA, Engineering, and Architecture teams.
- Ensure governance, auditability, and operational controls are Embedded throughout the solution life cycle.