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- Tasks: Design and deploy cutting-edge AI applications for major enterprise clients.
- Company: Fast-growing AI consultancy transforming enterprise AI adoption.
- Benefits: Competitive salary up to £115k, bonus, and hybrid work model.
- Other info: Work in a dynamic environment with opportunities to experiment with emerging AI technologies.
- Why this job: Join a team at the forefront of AI innovation and make a real impact.
- Qualifications: Proven experience in production AI systems and strong software engineering skills.
The predicted salary is between 100000 - 115000 £ per year.
We’re partnering with a fast-growing AI consultancy transforming how enterprise organisations adopt and scale AI.
You’ll be building production-grade AI systems used by major enterprise clients, working with cutting-edge LLMs, agent frameworks, and cloud-native AI infrastructure.
- Designing and deploying enterprise AI applications
- Building intelligent agent workflows using Autogen & LangGraph
- Working with OpenAI + Azure AI services in production
- Driving AI integration across enterprise platforms and data systems
- Experimenting with emerging AI capabilities before they hit mainstream adoption
Tech Stack: Python, Azure AI, OpenAI, Autogen, LangGraph, Langfuse, Docker, Kubernetes, Vector DBs, CI/CD
Requirements:
- Proven experience shipping production AI/LLM systems
- Strong software engineering fundamentals
- Experience with AI observability & MLOps
- Someone who enjoys solving complex enterprise problems with practical AI
Hybrid London (3 days onsite) £100k–£115k + bonus
Lead AI Engineer - Client-facing | London (Hybrid) - Up to £115k + bonus employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer - Client-facing | London (Hybrid) - Up to £115k + bonus
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or AI systems. This is your chance to demonstrate your expertise and passion for AI in a way that a CV simply can't.
✨Tip Number 3
Prepare for interviews by practising common AI-related questions and scenarios. Think about how you've solved complex problems in the past and be ready to discuss your experience with tools like Python, Azure AI, and MLOps.
✨Tip Number 4
Apply through our website! We make it easy for you to connect with us directly. Plus, it shows you're genuinely interested in joining our team and helps us get to know you better right from the start.
We think you need these skills to ace Lead AI Engineer - Client-facing | London (Hybrid) - Up to £115k + bonus
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 experience with AI systems, Python, and any relevant projects you've worked on. We want to see how you can bring value to our team!
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 your background aligns with our mission at StudySmarter. Be sure to mention specific technologies from the job description that you’ve worked with.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve complex problems in previous roles. We love candidates who can demonstrate practical applications of their knowledge, especially in client-facing situations.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on Python, Azure AI, and OpenAI, as well as tools like Docker and Kubernetes. Being able to discuss your hands-on experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex enterprise problems using AI. Think about specific projects where you designed or deployed AI applications. This will demonstrate your practical experience and ability to drive AI integration across platforms.
✨Understand Client Needs
Since this role is client-facing, it’s crucial to understand how to communicate technical concepts to non-technical stakeholders. Practice explaining your past projects in a way that highlights their business impact. This will show that you can bridge the gap between technology and client needs.
✨Stay Ahead of AI Trends
Familiarise yourself with emerging AI capabilities and trends. Be prepared to discuss how you’ve experimented with new technologies before they became mainstream. This shows your passion for AI and your commitment to staying at the forefront of the industry.