Senior AI Engineer

Senior AI Engineer - Generative AI | Global Banking Organisation

London | 4 days in the office

6 month contract | £800 - £875 per day inside IR35

We are looking for an experienced Senior AI Engineer to join a leading global financial services organisation, helping to design and deliver Generative AI applications across the EMEA region.

This is a hands-on engineering role working across GenAI, LLMs, cloud and enterprise technology. You will build production-grade AI solutions, including RAG and agentic AI applications, while working closely with architecture, cloud, engineering and business teams.

Key Responsibilities:

• Design and develop production-ready Generative AI and LLM applications
• Build RAG pipelines and agentic AI solutions
• Develop, fine-tune and optimise LLM-based applications
• Develop solutions using Python and modern GenAI frameworks
• Develop and implement prompt engineering strategies
• Integrate LLMs with enterprise applications, APIs and data sources
• Build and deploy AI solutions within Azure and/or AWS
• Implement CI/CD and MLOps practices for AI applications
• Develop and deploy APIs and integration services
• Monitor and optimise AI application and model performance
• Work with cloud and architecture teams to ensure solutions are secure, scalable and maintainable
• Guide development teams through implementation, testing and deployment
• Provide technical guidance and mentoring to other engineers

Key Skills & Profile:

• Experience providing architectural solutions in a multi-entity, multi-regional financial services organisation.
• Experience of working with senior stakeholders across business and technology functions.
• Experience of architecting Gen AI solutions using infrastructure in Microsoft Azure or AWS.
• Strong expertise in developing Gen AI solutions in Python using frameworks such as Langchain, Langgraph, Microsoft Agents SDK etc
• CI / CD & MLOps for AI
• Model development and fine tuning
• Deep expertise in Prompt Engineering and RAG solutions
• Performance monitoring and optimisation
• Experience developing, deploying APIs using API Gateway
• Familiar with Azure Cloud services related to LLM deployments such as App Service, Azure Functions, Azure container apps
• Azure AI, Data and related services – Azure Open AI, Azure Cognitive Services, Azure AI search, Azure Cosmos DB, Azure Data Lake, Microsoft Purview, Power Platform, Microsoft Graph
• Expertise in LLM integration patterns such as MCP, A2A
• Experience in architecting solutions combining On Premises systems and Cloud systems in a regulated environment and using Secure by Design principles.
• Experience with GitHub Copilot or similar tools used in AI-assisted development
• Strong communication and stakeholder engagement skills