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- Tasks: Lead AI projects and mentor a talented team in innovative engineering solutions.
- Company: Dynamic energy company in London with a focus on cutting-edge technology.
- Benefits: Competitive salary, comprehensive benefits, and hybrid working flexibility.
- Why this job: Shape the future of AI in energy and make a real difference.
- Qualifications: Expertise in AI, data engineering, and modern software development required.
- Other info: Join a collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
An energy company based in London is seeking an experienced AI Engineer / Technical Lead to guide the technical direction of multiple applications within their engineering landscape. The role demands expertise in artificial intelligence, data engineering, and modern software development. You will lead projects, mentor team members, and collaborate closely with stakeholders to deliver impactful solutions. The company offers a competitive salary, comprehensive benefits, and the flexibility of hybrid working.
Hybrid Lead AI Engineer – GenAI & Architecture employer: SEFE Group
Contact Detail:
SEFE Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Lead AI Engineer – GenAI & Architecture
✨Tip Number 1
Network like a pro! Reach out to folks in the energy sector or AI community on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and contributions. This is your chance to shine and demonstrate your expertise beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI and data engineering. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we’re always on the lookout for talented individuals like you.
We think you need these skills to ace Hybrid Lead AI Engineer – GenAI & Architecture
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in AI, data engineering, and software development. We want to see how your experience aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past projects relate to the energy sector and how you can guide the technical direction of applications. We love seeing candidates who take the time to connect their experience with our needs.
Be a Team Player: Since mentoring and collaboration are key parts of this role, share examples of how you've worked with teams in the past. We’re looking for someone who can lead but also uplift others, so let us know how you’ve done that before!
Apply Through Our Website: We encourage you 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’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at SEFE Group
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in artificial intelligence. Be prepared to discuss your previous projects in detail, especially those that showcase your expertise in GenAI and architecture.
✨Showcase Your Leadership Skills
Since this role involves mentoring and leading projects, think of examples where you've successfully guided a team or influenced stakeholders. Highlight your ability to communicate complex ideas clearly and effectively.
✨Understand the Company’s Engineering Landscape
Do some homework on the company’s current applications and engineering practices. This will help you tailor your answers to show how your skills can directly benefit their specific needs and challenges.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving abilities and knowledge of data engineering and software development. Practise coding challenges or system design scenarios relevant to the role to boost your confidence.
