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- Tasks: Design and deliver enterprise-grade AI solutions using Microsoft’s AI ecosystem.
- Company: Leading sustainability tech company focused on innovative solutions.
- Benefits: Remote-first role with competitive salary and growth opportunities.
- Why this job: Join a mission-driven team and make a real impact in sustainability.
- Qualifications: Strong experience with enterprise data platforms and AI deployment.
- Other info: Exciting opportunity for career advancement in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading sustainability technology company is searching for a Lead AI Engineer to deliver enterprise-grade AI solutions. This remote-first role involves designing AI agents and workflows, utilizing Microsoft's AI ecosystem. The ideal candidate should have strong experience with enterprise data platforms and practical expertise in deploying AI solutions.
Responsibilities include:
- Integrating AI with enterprise systems
- Ensuring data quality
Interested candidates should apply by sending their CV to Kris Kobi at the provided email.
Lead AI Engineer: Enterprise Data & AI (Remote UK) in Leeds employer: Climate17
Contact Detail:
Climate17 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer: Enterprise Data & AI (Remote UK) in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI or at sustainability tech companies. A friendly chat can open doors and give you insights that might just land you that Lead AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous AI projects, especially those involving enterprise data platforms. This will not only demonstrate your expertise but also make you stand out when we’re looking for someone who can deliver top-notch AI solutions.
✨Tip Number 3
Prepare for the interview by brushing up on Microsoft’s AI ecosystem. Familiarise yourself with how it integrates with enterprise systems and be ready to discuss how you can ensure data quality in your solutions. We love candidates who come prepared!
✨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 us you’re serious about joining our team and making an impact in the sustainability tech space.
We think you need these skills to ace Lead AI Engineer: Enterprise Data & AI (Remote UK) in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Engineer role. Highlight your experience with enterprise data platforms and any relevant projects you've worked on that showcase your skills in deploying AI solutions.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work where you designed AI agents or integrated AI with enterprise systems. This will help us see how you can contribute to our team.
Keep It Clear and Concise: We love a well-structured application! Keep your CV and cover letter clear and concise, focusing on the most relevant information. Avoid jargon unless it’s necessary, and make sure it’s easy for us to read.
Apply Through Our Website: For the best chance of getting noticed, apply through our website. It helps us keep track of applications and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Climate17
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions, especially within Microsoft's ecosystem. Be ready to discuss specific projects you've worked on and how you've integrated AI with enterprise systems.
✨Showcase Your Data Skills
Since the role involves working with enterprise data platforms, prepare examples that highlight your experience in ensuring data quality and deploying AI solutions. Use metrics or outcomes to demonstrate your impact.
✨Prepare for Technical Questions
Expect some technical questions related to AI design and workflows. Practise explaining complex concepts in simple terms, as this will show your ability to communicate effectively with both technical and non-technical stakeholders.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's approach to sustainability and how they envision the role of AI in their future projects. This shows your genuine interest in the company and the position.
