AI Infrastructure Engineer
Location: London (Hybrid – minimum 3 days/week onsite)
Salary: Up to £80k + potential share options
About the Role 🧠
A fast-growing UK tech group is looking for a hands-on AI Infrastructure Engineer to design and build the systems connecting core platforms (CRM, data lake, business tools) into a unified, AI-ready architecture. This is a greenfield build role — you’ll wire together SaaS tools, automate data flows, and shape the internal AI platform powering future automation and AI copilots.
Why This Role Is Different?
* Greenfield AI infrastructure: build the foundation from zero
* Direct access to decision-makers: no layers of product/PM slowing you down
* Ownership & growth: clear path to Head of AI Infrastructure / AI Platform Lead
* Hybrid London office: minimum 3 days onsite, hands-on role, fast-paced environment
What You’ll Do 🔧
* Design and implement end-to-end data pipelines linking core platforms (CRM → data lake → AI systems)
* Architect schemas and transformation layers optimized for analytics, automation, and AI workflows (RAG/internal copilots)
* Build Python and API integrations, using low-code/no-code tools (Zapier, Make, Matillion) where it speeds things up
* Prototype internal automations and AI-driven tools to streamline operations and M&A integration processes
* Monitor, ensure reliability, and scale integrations and pipelines
* Document and modularize infrastructure for future AI engineers
✅ Must-Haves:
* Python & SQL experience
* Data engineering skills: pipeline design, data modeling, schema development
* Experience with API integrations, webhooks, and low/no-code automation tools (Zapier, Make, Matillion)
* Comfortable in AWS or Azure environments
* Pragmatic, hands-on builder: you ship fast and iterate, rather than waiting for perfect architecture
✨ Nice-to-Haves:
* Experience with CRM platforms (Zoho, HubSpot, Salesforce) and scripting
* Familiarity with Snowflake or modern cloud data warehouses
* Awareness of LLM APIs, RAG concepts, or AI workflow orchestration
Who You Are 🎯
* Early-career to mid-career (2–6 years experience), eager for ownership and growth
* A pragmatic builder who enjoys wiring systems together and making data flow end-to-end
* Hands-on, execution-focused, and comfortable shipping fast rather than waiting for perfect architecture
* Curious about AI and automation, with experience or interest in RAG, internal copilots, or AI workflows
* Able to communicate clearly with technical and non-technical stakeholders
📩 Interested?
If you’re a Python + data + integration engineer who enjoys building AI foundations rather than just maintaining systems, apply now — this role puts you at the centre of a real AI transformation, with your fingerprints on the whole stack.