Lead AI Engineer
<p><b>Salary: £52,000 - 92,000 per year</b></p>
<b>Requirements:</b>
<ul><li>Degree in Computer Science, Data Engineering, Artificial Intelligence, or related field, or equivalent industry experience</li><li>Deep hands-on experience with Azure/Microsoft Fabric ecosystem (specifically Copilot Studio & Power Platform) and Databricks (SQL, Unity Catalog, Mosaic AI)</li><li>Strong ability to design data models for analytics</li><li>Experience with defining metrics layers (e.g., DBX semantic layer or Databricks Genie) is essential</li><li>Practical experience with Large Language Models (LLMs), Prompt Engineering, and RAG architectures</li><li>Proficient in Python (for data manipulation and API interaction) and SQL (for data modelling)</li><li>Experience working with REST APIs and connecting disparate business systems</li><li>Ability to explain technical AI concepts to non-technical business users and translate their feedback into code</li></ul>
<b>Responsibilities:</b>
<ul><li>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)</li><li>Develop custom RAG (Retrieval-Augmented Generation) solutions within Databricks to allow LLMs to reason over proprietary SMS documents and data</li><li>Integrate AI agents with enterprise systems (Dynamics 365, SharePoint, etc.) via APIs and Power Automate connectors</li><li>Own the creation and maintenance of Databricks Genie Spaces by translating complex database schemas into business-friendly semantic models</li><li>Define and govern standard metrics, dimensions, and synonyms within Unity Catalog to ensure the AI</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>API</li><li>Azure</li><li>Copilot</li><li>Databricks</li><li>Fabric</li><li>Support</li><li>Python</li><li>REST</li><li>SQL</li><li>SharePoint</li><li>Unity</li><li>Office 365</li><li>Cloud</li><li>GameDev</li><li>Architect</li><li>Security</li></ul>
<p><b>More:</b></p>
<p>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.</p>
<p>last updated 8 week of 2026</p>
<b>Requirements:</b>
<ul><li>Degree in Computer Science, Data Engineering, Artificial Intelligence, or related field, or equivalent industry experience</li><li>Deep hands-on experience with Azure/Microsoft Fabric ecosystem (specifically Copilot Studio & Power Platform) and Databricks (SQL, Unity Catalog, Mosaic AI)</li><li>Strong ability to design data models for analytics</li><li>Experience with defining metrics layers (e.g., DBX semantic layer or Databricks Genie) is essential</li><li>Practical experience with Large Language Models (LLMs), Prompt Engineering, and RAG architectures</li><li>Proficient in Python (for data manipulation and API interaction) and SQL (for data modelling)</li><li>Experience working with REST APIs and connecting disparate business systems</li><li>Ability to explain technical AI concepts to non-technical business users and translate their feedback into code</li></ul>
<b>Responsibilities:</b>
<ul><li>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)</li><li>Develop custom RAG (Retrieval-Augmented Generation) solutions within Databricks to allow LLMs to reason over proprietary SMS documents and data</li><li>Integrate AI agents with enterprise systems (Dynamics 365, SharePoint, etc.) via APIs and Power Automate connectors</li><li>Own the creation and maintenance of Databricks Genie Spaces by translating complex database schemas into business-friendly semantic models</li><li>Define and govern standard metrics, dimensions, and synonyms within Unity Catalog to ensure the AI</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>API</li><li>Azure</li><li>Copilot</li><li>Databricks</li><li>Fabric</li><li>Support</li><li>Python</li><li>REST</li><li>SQL</li><li>SharePoint</li><li>Unity</li><li>Office 365</li><li>Cloud</li><li>GameDev</li><li>Architect</li><li>Security</li></ul>
<p><b>More:</b></p>
<p>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.</p>
<p>last updated 8 week of 2026</p>