About this role
Salary: £62,000 - 102,000 per year
Requirements: Strong hands-on experience in AI engineering, particularly building AI agents and agentic workflows.Practical experience working with LLMs, prompt engineering, and RAG architectures.Strong development skills in Python and SQL.Experience with Azure Databricks and/or Microsoft Fabric.Strong understanding of data engineering, data pipelines, and API integration.Experience developing automation solutions using Microsoft Power Platform and Copilot Studio.Experience taking AI or data solutions from proof of concept through to production.Knowledge of DevOps, CI/CD, automated testing, monitoring, and production support.Ability to translate business use cases into scalable technical solutions.Experience working within Financial Services, Banking, or Balance Sheet Modelling environments is desirable.Understanding of enterprise AI governance, security, and responsible AI principles is desirable.Experience building reusable AI frameworks, components, or accelerators is desirable.Exposure to cloud-native Azure architectures and enterprise integration patterns is desirable. Responsibilities: Design, develop, and deploy production-ready AI agents and agentic workflows.Build RAG solutions, integrating Large Language Models with enterprise data and knowledge sources.Apply prompt engineering techniques to improve the accuracy, reliability, and effectiveness of AI solutions.Translate business requirements and use cases into robust technical solutions.Build and maintain scalable data pipelines and data products supporting Balance Sheet Modelling and AI use cases.Develop reusable AI, data, and integration components that can be leveraged across multiple solutions.Design and integrate APIs to connect AI capabilities with internal applications, data sources, and third-party services.Develop workflow automation solutions using Power Platform and Copilot Studio.Work with Azure Databricks and/or Microsoft Fabric to process, transform, and manage data.Implement testing, DevOps, monitoring, and operational controls to ensure solutions are reliable and supportable in production.Produce clear technical documentation covering solution design, deployment, configuration, and ongoing support.Collaborate with AI architects, data teams, engineering teams, and business stakeholders throughout the development lifecycle.Deliver production-ready AI agents and agentic solutions.Deliver RAG and LLM-based capabilities integrated with enterprise data.Deliver scalable data pipelines and Balance Sheet Modelling data products.Deliver reusable AI, data, and API components.Deliver workflow automation assets using Power Platform and Copilot Studio.Deliver automated testing, deployment, and monitoring capabilities.Deliver technical documentation, operational procedures, and a clearly defined support model. Technologies: AIAI AgentsAPIAzureCI/CDCloudCopilotDatabricksDevOpsFabricSupportLLMMicrosoft Power PlatformPythonRAGSQLSecurity More:
We are a leading Pension and Investments client in Financial Services seeking a hands-on AI & Data Engineer to design, build, and productionise AI agents, automation solutions, Retrieval-Augmented Generation capabilities, and data products supporting Balance Sheet Modelling. This is a remote-first role based UK-wide, with travel to a local site when required, and it will be via umbrella. We work closely with business, architecture, and technology teams to translate business use cases into scalable, secure, and production-ready AI and data solutions within an enterprise environment.
last updated 36 week of 2026