Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of AI tools and custom RAG solutions for a top energy company.
- Company: Join a leading UK energy infrastructure company focused on innovation.
- Benefits: Enjoy a salary up to £65,000, 25 days holiday, and a competitive pension scheme.
- Why this job: Be at the forefront of AI strategy and make a real impact in the energy sector.
- Qualifications: Strong experience with Microsoft Copilot, Databricks, Python, and SQL required.
- Other info: Remote role with opportunities for professional growth and collaboration.
The predicted salary is between 52000 - 78000 £ per year.
A leading UK energy infrastructure company seeks a Lead Enterprise AI Engineer to operationalize their AI strategy. This remote role involves building AI tools, developing custom RAG solutions, and integrating them with enterprise systems.
Candidates should have strong experience with Microsoft Copilot and Databricks, excellent Python and SQL skills, and the ability to communicate complex AI concepts to all stakeholders.
The position offers a salary of up to £65,000 along with attractive benefits including 25 days of holiday and a competitive pension scheme.
Enterprise AI Engineer Lead — Copilot & RAG Expert in Manchester employer: RecruitME
Contact Detail:
RecruitME Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Engineer Lead — Copilot & RAG Expert in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI or at the company you're eyeing. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've built any cool AI tools or RAG solutions, make sure to have them ready to discuss. We love seeing real examples of what you can do, so be prepared to share your projects during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable explaining complex AI concepts in simple terms. You’ll need to communicate effectively with all stakeholders, so practice breaking down your knowledge into bite-sized pieces.
✨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, we’re always on the lookout for passionate candidates who are ready to take their AI skills to the next level.
We think you need these skills to ace Enterprise AI Engineer Lead — Copilot & RAG Expert in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Copilot, Databricks, and your Python and SQL skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can help us operationalise our AI strategy. Keep it engaging and make sure to mention your communication skills for conveying complex concepts.
Showcase Your Projects: If you've worked on any AI tools or custom RAG solutions, include them in your application. We love seeing real-world examples of your work, so don’t hesitate to share links or descriptions of your projects!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at RecruitME
✨Know Your AI Tools Inside Out
Make sure you’re well-versed in Microsoft Copilot and Databricks. Brush up on how these tools can be applied in real-world scenarios, especially in the context of energy infrastructure. Being able to discuss specific use cases will show your expertise and enthusiasm.
✨Showcase Your Coding Skills
Prepare to demonstrate your Python and SQL skills during the interview. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms or data manipulation tasks can help you feel more confident.
✨Communicate Complex Ideas Simply
Since you’ll need to explain AI concepts to various stakeholders, practice breaking down complex ideas into simple terms. Use analogies or examples that relate to the energy sector to make your points clearer and more relatable.
✨Research the Company’s AI Strategy
Familiarise yourself with the company’s current AI initiatives and how they align with their overall strategy. This knowledge will not only help you answer questions but also allow you to ask insightful questions, demonstrating your genuine interest in the role.
