Salary: £52,000 - 92,000 per year Requirements: Degree in Computer Science, Data Engineering, Artificial Intelligence, or related field, or equivalent industry experience Deep hands-on experience with Azure/Microsoft Fabric ecosystem (specifically Copilot Studio & Power Platform) and Databricks (SQL, Unity Catalog, Mosaic AI) Strong ability to design data models for analytics Experience with defining metrics layers (e.g., DBX semantic layer or Databricks Genie) is essential Practical experience with Large Language Models (LLMs), Prompt Engineering, and RAG architectures Proficient in Python (for data manipulation and API interaction) and SQL (for data modelling) Experience working with REST APIs and connecting disparate business systems Ability to explain technical AI concepts to non-technical business users and translate their feedback into code Responsibilities: Design, build, and deploy low-code and pro-code AI agents using Microsoft Copilot tools to automate business workflows (e.g., HR queries, IT support, operational data retrieval) Develop custom RAG (Retrieval-Augmented Generation) solutions within Databricks to allow LLMs to reason over proprietary SMS documents and data Integrate AI agents with enterprise systems (Dynamics 365, SharePoint, etc.) via APIs and Power Automate connectors Own the creation and maintenance of Databricks Genie Spaces by translating complex database schemas into business-friendly semantic models Define and govern standard metrics, dimensions, and synonyms within Unity Catalog to ensure the AI Technologies: AI API Azure Copilot Databricks Fabric Support Python REST SQL SharePoint Unity Office 365 Cloud GameDev Architect Security More: At SMS, we are dedicated to making a difference by transforming how businesses and consumers use energy sustainably. Our innovative energy solutions are key to a greener and more affordable energy system for all, with a goal to significantly decarbonize the UK economy by 2050. We offer competitive benefits including 25 personal holiday days per year (increasing to 30 after 5 years), hybrid working options, enhanced maternity and paternity leave, a comprehensive health plan, discounted gym memberships, life insurance, and a pension matching scheme. As a Lead Enterprise AI Engineer, youll play a vital role in shaping our AI landscape and collaborating with key stakeholders while working remotely. last updated 6 week of 2026