Artificial Intelligence Consultant at CipherTek Recruitment, London, £800–£1,300 per day

£800–1300 per day

Contract Description

AI Platform Leadership – Director / Architect / Tech Lead (LLM / RAG)


🚀 Building the Leadership Layer – AI Platform (LLM / RAG / Agentic Systems)

Global Investment Bank | Capital Markets / Quant Platform

📍 London (Hybrid) | 💰 £800–£1,300/day Depending on role (Outside IR35)


1-2 days a week in the office

Contract to permanent available


We’re building a new AI capability inside a global investment bank, focused on deploying LLM systems into large-scale, production environments.


We’ve already kicked off hiring for the engineering team.


Now we’re hiring the leadership layer to define and drive the build.

Roles we’re hiring

  • Director (Technical AI / RAG) - Not hands on
  • → Leading the function, setting direction, overseeing delivery


  • Technical Lead (Agentic AI) Hands on
  • → Driving hands-on design of LLM workflows and systems


  • Architect (LLM / RAG Platforms) Hands on
  • → Designing end-to-end architecture across data, models, and infrastructure


What this requires

This is not a strategy-only environment.


We’re looking for individuals who:

  • Have built or led large-scale, distributed systems
  • Have hands-on experience with LLM / RAG systems in production
  • Can operate in complex, enterprise environments
  • Are comfortable owning end-to-end delivery, not just contributing

👉 If your experience is limited to advisory, research, or early-stage AI work, this is not the right fit.


What you’ll be responsible for

  • Defining and shaping the AI platform architecture and roadmap
  • Driving the build of LLM-powered systems integrated into enterprise platforms
  • Leading engineering teams delivering production-grade systems
  • Ensuring scalability, reliability, and governance
  • Working closely with quant, data, and platform teams


What stands out

  • Experience leading builds in high-scale environments (tech, fintech, data platforms)
  • Strong grounding in data platforms, distributed systems, and cloud infrastructure
  • Ability to bridge hands-on engineering and strategic direction


Why this role

  • Opportunity to shape a high-impact AI capability from the ground up
  • Real production systems, not experimental work
  • Senior ownership and visibility
  • Outside IR35, strong day rates