Run stakeholder interviews and map priorities during an initial discovery phase.
Produce a clear findings report that the client's leadership can act on.
Help the client decide on the highest priority area to build first.
Take the agreed priority from design through to a working build.
Structure delivery in phases, with clear deliverables at agreed milestones.
Ensure technical documentation is created and kept up to date throughout.
Lead a small technical team (2 to 4 people) through a time-boxed delivery.
Translate business priorities into a technical plan, and technical constraints back into business terms, for the client's leadership.
Act as the client's primary technical point of contact for the engagement.

Has led at least one production LLM/AI implementation end-to-end, from discovery to deployment
Practical, hands-on experience with LLM integration patterns: prompt engineering, RAG, agentic workflows, tool use, or fine-tuning
Experience running a discovery phase: stakeholder interviews, prioritisation, and producing a clear findings report
Experience leading a small technical team (2 to 4 people) through a delivery-focused, time-boxed engagement
Relevant degree in Computer Science, Engineering, or a related field (advantageous but not mandatory). Demonstrated experience will be considered above formal qualifications for this role.

AI Implementation Team Lead – Contract

Key skills