AI Delivery Consultant
Role details
Job location
Tech stack
Requirements
What success looks like:Client teams can demonstrably do AI-enabled work they could not do before.Each learner or team leaves with a redesigned workflow they actually use.Working automations and agents are built, adopted and understood by the client.Clients can run, explain and extend what has been built; delivery is not a black box.Client satisfaction, learner outcomes and manager confidence are consistently strong.Value is visible on the client's own scoreboard, supporting retention, renewal and expansion. You'll be a strong fit if you have:Deep, hands-on expertise with LLMs, AI agents, automation tools and AI-enabled workflows.Evidence of real automations, agents or AI tools you have personally built or shipped.Strong consulting or solution-architecture instincts: you can diagnose the real problem before designing the solution.Experience redesigning how teams work, not just teaching people which tool to use.The ability to explain technical AI concepts clearly to non-technical stakeholders, then dial the depth back up for engineers or technical teams.A credible, client-facing presence with the confidence to work with senior stakeholders, managers, learners and technical teams.Strong one-to-one coaching, mentoring or enablement skills.Comfort working across AI strategy, workflow redesign, automation, adoption, governance and business value.Curiosity and pace: you are constantly testing new models, tools and techniques.Strong judgement around security, governance, maintainability and enterprise readiness. Strong backgrounds include:AI or automation consultingAI engineering, applied AI or agentic workflow implementationSolution architecture or technical consultingDigital transformation consultingData, ML or AI advisoryEnterprise SaaS or automation implementationApprenticeship, coaching or capability-building experience, where paired with genuine hands-on AI expertise
Benefits & conditions
Compensation:Competitive senior basePerformance upside linked to value realised, retention, expansion signals and Centre of Excellence contributionRemote-first workingPensionLaptopHigh ownership in a fast-moving AI transformation market Why join:AI adoption is moving from experimentation to execution. Employers no longer need generic AI awareness, they need governance, workflow redesign, working automations, practical adoption and measurable workforce capability. This is a chance to be at the centre of that shift.You will help organisations build the confidence, systems and skills to use AI in real work, in the workflows that shape productivity, quality, capacity and growth. Hiring process:As part of the process, we will ask you to show something you have actually built (an automation, agent or AI-enabled workflow) and walk us through the decisions and trade-offs.We will also ask you to explain a technical AI concept to both a non-technical stakeholder and a technical audience. The ability to move between those two levels of analysis is central to this role.