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- Tasks: Lead the development of innovative AI solutions that transform business operations.
- Company: Join a forward-thinking company dedicated to creating a sustainable energy future.
- Benefits: Enjoy 25 holiday days, hybrid working, and comprehensive health benefits.
- Why this job: Be at the forefront of AI technology and make a real impact on the energy sector.
- Qualifications: Degree in relevant field and hands-on experience with AI technologies required.
- Other info: Dynamic role with opportunities for professional growth and travel.
The predicted salary is between 54000 - 84000 £ 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 meeting 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.
Locations
Lead Enterprise AI Engineer in Cardiff, Wales employer: SMS
Contact Detail:
SMS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Enterprise AI Engineer in Cardiff, Wales
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Microsoft Copilot and Databricks. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and be ready to discuss how you've tackled real-world problems. Practice explaining technical details in a way that non-technical folks can understand—this is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission to transform energy solutions.
We think you need these skills to ace Lead Enterprise AI Engineer in Cardiff, Wales
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-world solutions, so share examples of your past 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 relevant experience with Microsoft Copilot, Databricks, and any other tools mentioned in the job description. This shows us you’ve done your homework and are genuinely interested in the position.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your technical skills and experiences. We appreciate a well-structured application that makes it easy for us to see how you fit into our team.
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 role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at SMS
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions, especially around 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 previous roles. Think about specific instances where you designed and deployed AI agents or integrated systems, and be ready to explain your thought process.
✨Engage with Business Stakeholders
Since this role involves partnering with various business units, think about how you can demonstrate your ability to communicate technical concepts to non-technical teams. Prepare to share experiences where you've successfully collaborated across departments.
✨Understand the Company’s Vision
Familiarise yourself with SMS's mission to transform the energy sector. Be prepared to discuss how your skills and experiences align with their goals for a greener, sustainable future, and how you can contribute to that vision.
