At a Glance
- Tasks: Lead the design and deployment of innovative AI applications in a hands-on role.
- Company: Join a top-tier AI consultancy driving enterprise-level AI solutions.
- Benefits: Competitive salary up to £115k, bonuses, and hybrid work flexibility.
- Other info: Opportunity for significant ownership and career growth in a dynamic environment.
- Why this job: Shape the future of AI while working with cutting-edge technologies and global clients.
- Qualifications: Strong Python skills and experience with LLMs or agent-based applications required.
The predicted salary is between 115000 - 115000 € per year.
Oliver Bernard have partnered with an industry-leading AI consultancy helping enterprise organisations deploy AI products and agentic systems into production. Following strong growth and increasing demand from global clients, they're looking for a Lead AI Engineer to help shape the next phase of delivery.
You'll lead the design and deployment of AI applications, working across LLMs, multi-agent systems and enterprise integrations. This is a hands-on role with significant ownership, technical leadership responsibilities and direct client exposure.
Required Skills & Experience
- Strong Python engineering background
- Commercial experience building LLM or agent-based applications
- Hands-on experience with LangGraph, AutoGen or similar frameworks
- AWS or Azure cloud experience
- Docker, Kubernetes and MLOps knowledge
- Ability to lead projects and mentor engineers
- Strong stakeholder-facing communication skills
Up to £115k + bonus
London | Hybrid | 3 days in office
Lead AI Engineer - Hybrid - London - Consultancy employer: Oliver Bernard
As a leading AI consultancy based in London, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel. With a strong focus on professional development, we offer numerous growth opportunities, mentorship from industry experts, and the chance to work on cutting-edge AI projects that make a real impact for global clients. Our hybrid working model ensures a healthy work-life balance while collaborating with a talented team in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer - Hybrid - London - Consultancy
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, especially those who work at 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 projects, especially those involving LLMs or agent-based applications. 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 soft skills. Be ready to discuss your experience with Python, AWS, and frameworks like LangGraph. Practice explaining complex concepts in simple terms to impress those stakeholders!
✨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 recruiters who are looking for top talent like you.
We think you need these skills to ace Lead AI Engineer - Hybrid - London - Consultancy
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, LLMs, and any relevant frameworks like LangGraph. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience!
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 the perfect fit for leading projects at our consultancy. Let us know what excites you about this opportunity!
Showcase Your Leadership Skills:Since this role involves technical leadership, make sure to highlight any experience you have in mentoring engineers or leading projects. We love seeing examples of how you've successfully managed teams or communicated with stakeholders.
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 us you’re keen on joining our team!
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 frameworks mentioned, like LangGraph and AutoGen. Brush up on your experience with LLMs and agent-based applications, as you’ll likely be asked to discuss specific projects you've worked on.
✨Showcase Your Leadership Skills
Since this role involves technical leadership, prepare examples of how you've led projects or mentored other engineers. Be ready to discuss your approach to managing teams and ensuring successful project delivery.
✨Communicate Clearly with Stakeholders
Strong communication skills are key for this position. Practice explaining complex AI concepts in simple terms, as you’ll need to engage with clients who may not have a technical background. Think about how you can demonstrate your ability to bridge that gap.
✨Familiarise Yourself with Cloud Technologies
With AWS or Azure experience being crucial, make sure you can talk confidently about your cloud projects. Prepare to discuss how you’ve used Docker, Kubernetes, and MLOps in your previous roles, as these will be important topics during the interview.
