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For Companies At a Glance
- Tasks: Lead the development of autonomous AI systems that transform complex workflows for enterprise clients.
- Company: A leading enterprise AI company in London, backed by top investors and renowned clients.
- Benefits: Competitive salary, share options, generous holiday, health insurance, and learning budget.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
- Why this job: Join a pioneering team solving real-world problems with cutting-edge AI technology.
- 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.
Lead AI Engineer in London employer: Higher - AI recruitment
Contact Detail:
Higher - AI recruitment Recruiting Team
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, especially those who work at companies you're interested in. Attend meetups, webinars, or even just grab a coffee with someone in the field. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and achievements in AI. Whether it's a GitHub repository or a personal website, having tangible evidence of your expertise can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI systems. Think about how you would approach complex operational workflows and be ready to discuss your thought process. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, we’re here to support you throughout the process, so don’t hesitate to reach out if you need any help!
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 role and the company. Dive into their tech stack and the problems they’re solving. This will help you tailor your application to show how your experience aligns with their needs.
Showcase Your Experience: When detailing your experience, focus on specific projects where you've built and deployed AI systems. Use metrics to highlight your impact, like how your solutions improved efficiency or reliability. We want to see your achievements shine!
Be Client-Focused: Since this role is client-facing, emphasise your experience in leading technical engagements. Share examples of how you've untangled complex workflows for clients and delivered results. It’s all about showing you can bridge the gap between tech and business.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Higher - AI recruitment
✨Know Your Stuff
Make sure you’re well-versed in the latest AI technologies, especially LLMs and agentic workflows. Brush up on your experience with Python and cloud platforms like AWS or GCP. Being able to discuss specific projects where you've led complex technical engagements will really impress them.
✨Understand Their Mission
Dive deep into what this company is doing with Digital Workers. They’re tackling tough problems in enterprise software, so be prepared to discuss how your skills can contribute to their mission of creating autonomous AI systems that deliver real results.
✨Showcase Your Leadership Skills
Since this role involves client-facing responsibilities, highlight your experience in leading teams and managing client relationships. Be ready to share examples of how you’ve turned ambiguous business challenges into successful AI solutions.
✨Ask Smart Questions
Prepare insightful questions about their current projects and future goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially around intellectual rigour and ownership.