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- Tasks: Design and deliver AI applications, mentor engineers, and integrate solutions for enterprise clients.
- Company: Dynamic tech consultancy focused on practical AI implementation.
- Benefits: Competitive salary up to £115k, hybrid work, and bonuses.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Lead innovative AI projects and make a real impact in the tech industry.
- Qualifications: Experience with production AI systems, strong Python skills, and cloud services knowledge.
The predicted salary is between 115000 - 115000 £ per year.
We’re partnered with a growing technology consultancy who are looking for a Lead AI Engineer to help deliver scalable, production-ready AI solutions for enterprise clients. The role combines hands-on engineering, technical leadership, and client collaboration, with a strong focus on practical AI implementation rather than experimental POCs.
Key Responsibilities
- Design and deliver AI-powered applications using LLMs and agent frameworks
- Build and customise workflows with Autogen and LangGraph
- Integrate AI solutions into enterprise systems and digital products
- Support AI adoption and best practices across client environments
- Mentor engineers and maintain high engineering standards
Required Experience
- Commercial experience deploying production AI/LLM systems
- Strong Python engineering background
- Experience with Azure or AWS AI services
- Knowledge of MLOps, Kubernetes, Docker, and vector databases
- Familiarity with observability tools such as Langfuse/OpenTelemetry
London hybrid working (Tue–Thu onsite) Up to £115k + bonus
Lead AI Engineer - London (Hybrid) | Python, LLMs, Client-facing 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 - London (Hybrid) | Python, LLMs, Client-facing in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or have ties to consultancies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and client-facing skills. Be ready to discuss how you've implemented AI solutions in the past and how you can help clients adopt these technologies effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Lead AI Engineer - London (Hybrid) | Python, LLMs, Client-facing in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI solutions. We want to see how your skills align with the role, so don’t be shy about showcasing your past projects and achievements!
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 experience makes you the perfect fit for our team. Let us know how you can contribute to delivering scalable solutions.
Showcase Your Client-Facing Skills: Since this role involves client collaboration, make sure to mention any relevant experience you have in working directly with clients. We love seeing examples of how you've successfully communicated technical concepts to 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 from us!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific AI technologies mentioned in the job description, like LLMs and MLOps. Brush up on your experience with Azure or AWS AI services, as you’ll likely be asked to discuss how you've implemented these in past projects.
✨Showcase Your Client-Facing Skills
Since this role involves client collaboration, prepare examples of how you've successfully communicated technical concepts to non-technical stakeholders. Think about times when you’ve led discussions or workshops that helped clients understand AI solutions.
✨Demonstrate Leadership Experience
As a Lead AI Engineer, you’ll need to mentor others and maintain high engineering standards. Be ready to share your experiences in leading teams, guiding junior engineers, and ensuring best practices in AI implementation.
✨Prepare for Practical Scenarios
Expect scenario-based questions where you might need to design an AI solution on the spot. Practice articulating your thought process clearly, focusing on how you would approach building scalable applications and integrating them into existing systems.