At a Glance
- Tasks: Design and deliver AI applications, mentor engineers, and integrate solutions for enterprise clients.
- Company: Join a growing tech consultancy focused on practical AI implementation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and high engineering standards.
- Why this job: Lead innovative AI projects and make a real impact in the tech industry.
- Qualifications: Experience with Azure or AWS, MLOps, and familiarity with observability tools.
The predicted salary is between 80000 - 100000 € 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
- 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)
Lead AI Engineer – London (Hybrid) | Python, LLMs, Client-facing employer: Oliver Bernard
Join a dynamic technology consultancy in London that prioritises innovation and collaboration, offering a hybrid work model that fosters flexibility and work-life balance. As a Lead AI Engineer, you'll not only lead the development of cutting-edge AI solutions but also have the opportunity to mentor fellow engineers and drive best practices in a supportive environment. With a strong emphasis on employee growth and a culture that values practical implementation, this role is perfect for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer – London (Hybrid) | Python, LLMs, Client-facing
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech consultancy space, especially those who work with AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and client-facing solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on practical AI implementation scenarios. Be ready to discuss how you've integrated AI solutions into enterprise systems and how you’ve mentored others in best practices.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Lead AI Engineer – London (Hybrid) | Python, LLMs, Client-facing
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI solutions, especially using LLMs and cloud services like Azure or AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 hands-on engineering experience can benefit our clients. Let us know how you’ve successfully integrated AI into enterprise systems before.
Showcase Your Leadership Skills:As a Lead AI Engineer, we’re looking for someone who can mentor others and maintain high engineering standards. Highlight any previous leadership roles or mentoring experiences in your application to show us you’re ready to take charge!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, LLMs, and cloud services like Azure or AWS. Brush up on your knowledge of MLOps, Kubernetes, and Docker, as these will likely come up during technical discussions.
✨Showcase Your Client-Facing Skills
Since this role involves client collaboration, prepare examples of how you've successfully communicated complex technical concepts to non-technical stakeholders. Think about times when you’ve led projects or mentored others, as these experiences will highlight your leadership abilities.
✨Demonstrate Practical AI Implementation
Be ready to discuss real-world applications of AI that you've worked on. Focus on how you’ve delivered scalable solutions rather than just theoretical knowledge. Prepare to explain your approach to integrating AI into existing systems and how you’ve supported best practices in previous roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI projects and their approach to client engagement. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding mentorship and engineering standards.
