At a Glance
- Tasks: Lead AI projects, architect systems, and solve complex operational workflows for enterprise clients.
- Company: Innovative AI company in London with high-profile clients like Johnson & Johnson and Cisco.
- Benefits: Up to £120,000 salary, share options, 25 days holiday, health insurance, and learning budget.
- Other info: Collaborative environment with opportunities for growth and development.
- Why this job: Join a cutting-edge team solving real-world problems with autonomous AI systems.
- Qualifications: 5+ years in AI systems, strong leadership, and system design skills required.
The predicted salary is between 120000 - 120000 € per year.
Higher is working with one of the most technically serious enterprise AI companies in London to hire 2 Lead AI Engineers. Their clients include Johnson & Johnson, Cisco and Syneos Health. They are solving one of the hardest problems in enterprise software today.
THE PROBLEM THEY ARE SOLVING
Most AI in the enterprise is cosmetic. Dashboards, copilots, tools that assist, but don't act. This company is building something different: Digital Workers, autonomous AI systems that execute complex knowledge workflows end to end, with human-level reliability. Founded nearly 10 years ago, with over $50m in funding from some of the UK's most prominent VCs, they've built a platform that actually runs in production at global scale.
THE ROLE
As Lead AI Engineer, you will embed directly with enterprise clients, untangle their most complex operational workflows, and architect the agentic systems that automate them. This is a forward-deployed, client-facing role that demands both deep technical capability and the maturity to operate at the business level. You will own delivery end to end, from architecture through to production.
The team is 45 people, nearly 20% with PhDs. They value intellectual rigour, ownership, and a genuine drive to win. They come together at their West London office 1-2 times per week.
WHAT YOU BRING
- 5+ years hands-on experience building and deploying production-grade AI systems using LLMs, RAG pipelines, MCPs and agentic workflows
- A track record of leading complex, client-facing technical engagements
- Strong system design and architecture skills, with the ability to turn ambiguous business problems into scalable AI solutions
- Experience setting technical direction and driving delivery to measurable outcomes
- Solid understanding of evaluation, reliability and performance in production AI systems
- Tech stack: Python, modern LLM frameworks, orchestration tooling, and cloud platforms (AWS, GCP or Azure).
WHAT'S ON OFFER
- Up to £120,000 base salary + high-value share options
- 25 days holiday plus bank holidays, with carry-over and sell options
- Pension scheme, life cover at 4x salary
- Health and dental insurance options
- Learning and development budget, work abroad days
- Cycle to work, tech purchases scheme
THIS COMPANY IS NOT OFFERING SPONSORSHIP TO FOREIGN CANDIDATES. IF YOU REQUIRE SPONSORSHIP TO LIVE AND WORK IN THE UK, PLEASE DO NOT APPLY.
Higher is a specialist AI executive search firm. This search is being conducted confidentially on behalf of our client. To be considered, please apply or reach out to Kelly Gauthier at kelly@highersearch.co.
Lead AI Engineer in London employer: LinkedIn
This innovative enterprise AI company in West London is an exceptional employer, offering a dynamic work culture that fosters intellectual rigour and ownership. With a strong focus on employee growth, they provide generous benefits including a competitive salary, high-value share options, and a dedicated learning and development budget, making it an ideal environment for Lead AI Engineers looking to make a meaningful impact in the field of autonomous AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer in London
✨Tip Number 1
Network like a pro! Connect with people in the AI industry on LinkedIn, attend meetups, and engage in discussions. The more you put yourself out there, the better your chances of landing that Lead AI Engineer role.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with your projects, especially those involving LLMs and agentic workflows. 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 understanding the company’s tech stack and their approach to AI. Be ready to discuss how you can tackle complex operational workflows and deliver measurable outcomes. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you every step of the way in your job search journey.
We think you need these skills to ace Lead AI Engineer in London
Some tips for your application 🫡
Know Your Stuff:Before you start writing, make sure you really understand the company and the role. Dive into their tech stack and the problems they're solving. This will help you tailor your application and show us that you're genuinely interested.
Showcase Your Experience:When detailing your experience, focus on specific projects where you've built and deployed AI systems. Highlight your leadership in client-facing roles and how you've tackled complex challenges. We want to see your journey and how it aligns with what we're looking for.
Be Clear and Concise:Keep your application straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point, showcasing your skills without unnecessary fluff.
Apply Through Our Website:Make sure to submit your application through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people. Plus, it shows us that you're serious about joining our team!
How to prepare for a job interview at LinkedIn
✨Know Your Stuff
Make sure you’re well-versed in the latest AI technologies, especially LLMs and agentic workflows. Brush up on your knowledge of Python and cloud platforms like AWS or GCP. Being able to discuss specific projects you've worked on will show your hands-on experience.
✨Understand the Company’s Mission
Dive deep into what this company is doing with Digital Workers. Understand their approach to solving complex operational workflows and be ready to discuss how your skills can contribute to their mission. This shows genuine interest and alignment with their goals.
✨Prepare for Client-Facing Scenarios
Since this role involves direct client engagement, think of examples where you’ve successfully led technical discussions or managed client expectations. Be ready to demonstrate your maturity in handling complex situations and delivering results.
✨Showcase Your Leadership Skills
Highlight your experience in setting technical direction and driving projects to completion. Prepare to discuss how you’ve led teams or initiatives in the past, focusing on measurable outcomes. This will resonate well with their emphasis on ownership and intellectual rigour.
