AI & Data Engineer

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:

• AI
• AI Agents
• API
• Azure
• CI/CD
• Cloud
• Copilot
• Databricks
• DevOps
• Fabric
• Support
• LLM
• Microsoft Power Platform
• Python
• RAG
• SQL
• Security

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