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For Companies At a Glance
- Tasks: Design and deploy cutting-edge AI solutions that transform enterprise data into impactful products.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, remote-first work, and opportunities for professional growth.
- Why this job: Make a real difference by delivering AI solutions that drive business value.
- Qualifications: Experience with enterprise data platforms and strong Python/SQL skills required.
- Other info: Collaborative environment with a focus on data accuracy and governance.
The predicted salary is between 46800 - 78000 £ per year.
Location: UK (Remote-first with occasional site visits)
Salary: Up to £65,000 benefits
Working Pattern: Full-time, permanent
Overview
We are seeking a hands-on Lead AI Engineer to deliver enterprise-grade AI solutions that move from concept to production. This role focuses on building AI agents, conversational interfaces, and retrieval-augmented systems that sit on top of trusted enterprise data. You will work closely with business stakeholders to translate real operational needs into deployed AI products, with a strong emphasis on data quality, semantic modelling, and governance.
Key Responsibilities
- Design, build, and deploy AI agents and workflows using Microsoft’s AI and data ecosystem
- Develop RAG-style AI solutions enabling LLMs to reason over proprietary enterprise data
- Own and curate semantic models that ensure AI outputs are accurate, explainable, and business-friendly
- Integrate AI solutions with enterprise platforms via APIs and automation tools
- Partner with non-technical stakeholders to prototype, test, and operationalise AI use cases
- Implement monitoring and governance practices around cost, performance, and model behaviour
Required Experience
- Strong hands-on experience with enterprise data platforms (e.g. Databricks, Azure/Fabric)
- Practical experience building or deploying AI / LLM-based solutions (including RAG architectures)
- Strong Python and SQL skills
- Experience designing analytics or semantic data models
- Ability to explain complex technical concepts to business users
Desirable
- Experience with Microsoft Copilot, Power Platform, or similar low-code AI tooling
- Exposure to AI governance, monitoring, or LLMOps practices
- Background in data engineering, analytics engineering, or applied AI
Profile
This role suits someone who enjoys building real systems, cares deeply about data accuracy, and is motivated by delivering tangible business value rather than research alone.
How to apply
If this sounds like a role for you, kindly send your cv to Kris Kobi at kris@climate17.com
Lead AI Engineer (Enterprise Data & AI) 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) in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and solutions. We want to see what you can do, so make sure to highlight your hands-on experience with enterprise data platforms and AI tools.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to explain complex concepts in simple terms. We love candidates who can bridge the gap between tech and business.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who care about delivering real business value with AI.
We think you need these skills to ace Lead AI Engineer (Enterprise Data & AI) in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead AI Engineer role. Highlight your hands-on experience with enterprise data platforms and any relevant AI projects you've worked on.
Showcase Your Technical Skills: Don’t shy away from listing your strong Python and SQL skills. We want to see how you’ve used these in real-world applications, especially in building or deploying AI solutions.
Explain Your Impact: When detailing your past roles, focus on the tangible business value you delivered. We love candidates who can translate complex technical concepts into benefits for non-technical stakeholders.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 around RAG architectures and enterprise data platforms like Databricks and Azure. Be ready to discuss your hands-on experience and how you've built or deployed similar systems in the past.
✨Speak Their Language
Since you'll be working with non-technical stakeholders, practice explaining complex technical concepts in simple terms. Think about how you can translate your technical expertise into business value, as this will resonate well during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real operational needs with AI solutions. Highlight your ability to partner with different teams to prototype and test use cases, demonstrating your collaborative approach and focus on delivering tangible results.
✨Emphasise Data Quality and Governance
Given the role's focus on data accuracy and governance, be ready to discuss your experience with monitoring practices and how you've ensured that AI outputs are explainable and business-friendly. This will show that you care about the integrity of the systems you build.
