Lead Deployed AI Engineer

Lead Deployed AI Engineer

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£80,000 - £100,000
Permanent | Leeds (Hybrid)
About Enablis
At Enablis, we deliver complex, high-impact technology transformation. We're now building a genuinely AI-native consultancy, not just experimenting, but embedding AI into how we deliver, how we operate, and how we grow.
We already have a live internal AI platform in development and a growing client pipeline. This hire will play a key part in taking that capability forward.
The Role
This role is the technical spearhead of our new-world work. Your responsibilities look like those of a startup CTO: you'll work in a small pod - typically with a Delivery Lead - and own end-to-end technical execution of client engagements: scoping, system design, build and rollout. Forward-deployed means exactly that: inside the client's environment, on their real data, within their security model.
A working prototype exists within the first days of an engagement; feedback lands every couple of days; a proven POC becomes an MVP within weeks. Between engagements, you extend our internal AI platform and codify what you proved in the field into the accelerators, templates and playbooks that make every engagement faster than the last.
What You'll Be Doing
Contributing to the development of our internal AI platform
Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling
Helping design internal AI tooling to accelerate delivery
Supporting our upskilling programme with technical AI knowledge-sharing
Keeping across emerging AI tools, frameworks and protocols
Helping drive pragmatic AI adoption across engineering teams
What We're Looking For
Essential:
Strong software engineering foundations (clean code, testing, CI/CD, production mindset)
Hands-on experience with LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems)
Proficiency in 2+ modern programming languages
Awareness of evolving AI tooling (MCP, A2A, or similar)
Some consultancy or client-facing experience, or a strong interest in moving into it
Desirable:
Vector databases, embeddings, fine-tuning
Cloud experience (AWS preferred)
Open-source contributions or visible AI side projects
Experience shipping AI-powered features to production
This is not a research role. We're looking for builders. xwzovoh
If you want to help shape a consultancy that's genuinely transforming around AI - we'd love to speak.