Why This Role Stands Out
As Lead AI Engineer at a rapidly growing Series-A startup, you will spearhead the delivery of cutting-edge Agentic AI solutions, working with ambitious clients at the forefront of innovation. This hands-on role offers significant career growth, impactful work, and a competitive salary of GBP 100,000 - 130,000, with the flexibility of a hybrid work mode. If you are a technically adept leader passionate about AI, this is an exceptional opportunity to shape the future of enterprise AI solutions.
Quick Overview
Job Description
Lead AI Engineer | AI Tech Start-Up | £100,000-£130,000 DOE + Shares | London / Hybrid (1 Day Office)
We’re partnering with a fast-growing AI tech scale-up expanding its team, who are hiring for a Lead AI Engineer.
This is a rare opportunity to lead the delivery of enterprise-grade Agentic AI solutions - working with ambitious clients at the forefront of applied AI innovation.
The Company
This pioneering organisation has built an advanced enterprise AI platform delivering predictive analytics and AI-powered decision intelligence.
Their digital AI agents provide always-on, intelligent insights - supporting leading clients across financial services, retail, FMCG, pharma, and beyond to enhance performance and efficiency.
The Role
As Lead AI Engineer, you’ll lead the delivery of Agentic AI solutions post-sale, owning client projects from design through to deployment. This is a hands-on role combining strong technical depth with delivery leadership and stakeholder management.
You’ll implement AI and agentic systems across enterprise clients, designing scalable architectures using LLMs, RAG pipelines, and agentic workflows, while working closely with engineering and product teams to ensure successful outcomes.
The Candidate
Key attributes of the suitable Lead AI Engineer include:
- Technical Data Science Expertise – Strong background delivering production-grade solutions, ideally within consulting or product-led environments.
- Agentic AI & Modern AI Systems Experience – Hands-on exposure to LLMs, RAG pipelines, and agentic
- Delivery Leadership & Client Ownership – Comfortable leading teams while remaining technically involved and managing client relationships post-sale
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