Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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
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 in City of London 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 in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at consultancies. Attend meetups or webinars to connect with potential employers and show them your passion for AI.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving production-grade AI systems. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and MLOps knowledge. Practice coding challenges and be ready to discuss how you've solved complex problems in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it’s a great way to get noticed directly by hiring managers.
We think you need these skills to ace Lead AI Engineer - Client-facing | London (Hybrid) - Up to £115k + bonus in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your experience with AI systems, Python, and any relevant projects you've worked on that showcase your ability to solve complex problems.
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 makes you a perfect fit for our team. Don’t forget to mention your client-facing experience and how you can drive AI integration.
Showcase Your Projects: If you've worked on any production-grade AI systems or have experience with tools like OpenAI and Azure AI, make sure to include those in your application. We love seeing real-world applications of your skills!
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’re considered for the role. Plus, it shows you’re keen on joining our team!
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 be ready to discuss them. Showing that you’re proactive about experimenting with new technologies will impress interviewers and demonstrate your passion for the field. It’s all about being forward-thinking!