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- Tasks: Lead the development of innovative AI solutions that transform business opportunities into reality.
- Company: Join SMS, a pioneer in creating a sustainable energy future.
- Benefits: Enjoy 25 holiday days, hybrid working, and comprehensive health benefits.
- Why this job: Make a real impact on the UK's energy transformation while advancing your AI skills.
- Qualifications: Degree in relevant field and hands-on experience with AI technologies required.
- Other info: Dynamic role with opportunities for growth and collaboration across various sectors.
The predicted salary is between 72000 - 108000 £ per year.
Why choose us? Choosing to work for SMS means choosing to make a difference. We are changing how businesses and consumers use energy for the better, helping achieve a greener, sustainable, and more affordable energy system for everyone. Through our range of innovative energy solutions, we are delivering the future of smart energy working closely with private and public sector partners we are playing a critical role in transforming and decarbonising the UK economy by 2050.
What’s in it for you?
- 25 personal holiday days per year (with additional 8 public holidays) increasing to 30 personal days after 5 years of service (includes options to buy and sell)
- Hybrid working options (for some positions)
- Enhanced Maternity leave
- Paternity and Adoption leave
- 24/7 free and confidential employee assistance service
- Simply Health plan offers a wide variety of benefits from cashback on everyday healthcare treatments like optical, dental and physio treatments
- Discounted gym memberships and free 24/7 online GP
- Life Insurance (4 x annual salary)
- Pension matching scheme (up to 5% of salary)
What’s the role? Step into a role where strategy meets engineering excellence. As our Lead Enterprise AI Engineer, you’ll be the driving force turning bold business opportunities into production-ready AI solutions. You’ll shape intelligent agents, craft next-generation conversational experiences using Microsoft Copilot and Databricks Mosaic AI, and architect the Semantic Layer that ensures our models deliver accurate, trusted insights every time.
If you’re ready to take ownership of an organisation’s AI future and build the systems that make it real this is your stage. You will report to the Data, Analytics and AI Director and work remotely on a full-time, 40-hour contract. Please note: That travel is required, to have face-to-face meetings with your line manager.
Key responsibilities:
- AI Solution Development & Agent Building: 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.
- Semantic Modelling & Databricks Genie Curation: Own the creation and maintenance of Databricks Genie Spaces. This involves translating complex database schemas into business-friendly semantic models. Define and govern standard metrics, dimensions, and synonyms within Unity Catalog to ensure the AI "speaks the language of the business." Continuously monitor Genie performance, reviewing "human feedback" on answers to refine the semantic model and improve accuracy over time.
- Business Engagement & Prototyping: Partner with business stakeholders (Finance, Operations, Commercial) to decompose high-level use cases into technical requirements. Rapidly prototype AI solutions to demonstrate value and gain quick traction within business units. Act as a technical evangelist, demonstrating to non-technical teams how to interact with Genie spaces and Copilots effectively.
- AI Operations (LLMOps) & Governance: Implement monitoring frameworks to track the cost, latency, and quality of AI model outputs. Ensure all AI solutions adhere to the organisation's data governance and security standards (e.g., preventing data leakage via LLMs). Manage the lifecycle of AI models and agents from development through to production and retirement.
To be considered for this role, we would love you to have:
- 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.
Lead Enterprise AI Engineer in Cardiff employer: SMS
Contact Detail:
SMS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Enterprise AI Engineer in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects and solutions. This gives us a chance to see your work in action and understand how you tackle real-world problems.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI roles and practice your responses. We want to see how you think and approach challenges, so be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love when candidates take the initiative to engage directly with us. Don’t miss out on the opportunity!
We think you need these skills to ace Lead Enterprise AI Engineer in Cardiff
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential shine through. We want to see how you can turn bold ideas into real solutions, so share any relevant projects or experiences that highlight your skills in this area.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Lead Enterprise AI Engineer role. Highlight your experience with Microsoft Copilot, Databricks, and any relevant AI projects. We love seeing how your background aligns with our mission!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your technical skills and experiences. We appreciate a well-structured application that makes it easy for us to see why you're a great fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at SMS
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially Microsoft Copilot and Databricks. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role at SMS.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in AI solution development. Think about specific challenges you've faced and how you overcame them, particularly in relation to building low-code and pro-code AI agents.
✨Engage with Business Stakeholders
Demonstrate your ability to communicate technical concepts to non-technical stakeholders. Prepare to discuss how you've collaborated with different business units to translate their needs into actionable AI solutions.
✨Understand Data Governance
Familiarise yourself with data governance and security standards relevant to AI. Be prepared to explain how you ensure compliance in your projects, especially regarding preventing data leakage and managing AI model lifecycles.
