Forward Deployed AI Engineer
London • Permanent • Competitive

Forward Deployed AI Engineer

Easy Apply
London Remote Permanent 12 Applications
Competitive
Full-time
Posted 14 Sep 2026
Expires 14 Oct 2026

Job description

Compensation: £65k – £95k • No equity

Forward Deployed AI Engineer London Area, United Kingdom · Remote-first, UK

Join AiCore to help deliver the next generation of AI-enabled enterprise transformation. We work with ambitious organisations to move AI adoption from experimentation to execution: redesigning real workflows, building practical automations and agents, and helping teams become genuinely AI-capable.

We are now looking for an AI Forward-Deployed Engineer to help deliver client programmes that create measurable workforce capability, productivity gains and business value.

This is a hands-on, client-facing AI role. Alongside teaching people about AI, you will redesign workflows, build working automations alongside client teams, mentor learners one-to-one, and help organisations adopt AI in a way that is practical, safe and valuable.

We are looking for someone who can build, teach, consult and bring people with them. A brilliant engineer who cannot support non-technical learners will struggle here. So will a charismatic trainer who is not genuinely hands-on with AI.

What you'll do

  • Deliver hands-on AI transformation programmes across client cohorts and accounts.
  • Redesign real client workflows and turn them into AI-enabled ways of working.
  • Build working automations, agents and AI-enabled processes alongside client teams.
  • Coach and mentor learners one-to-one, helping both technical and non-technical users build confidence and capability.
  • Run practical workshops and hands-on sessions that move beyond tool awareness into real adoption.
  • Diagnose client needs across workflow redesign, AI capability, automation opportunities, governance, adoption and value realisation.
  • Help clients see measurable progress through completion, competency, satisfaction, adoption and business outcome tracking.
  • Stay current on frontier AI models, tools and techniques, bringing newly possible capabilities into client delivery.

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 consulting
  • AI engineering, applied AI or agentic workflow implementation
  • Solution architecture or technical consulting
  • Digital transformation consulting
  • Data, ML or AI advisory
  • Enterprise SaaS or automation implementation
  • Apprenticeship, coaching or capability-building experience, where paired with genuine hands-on AI expertise

Extras

  • Performance-linked upside tied to client revenue realisation
  • Remote-first working, UK-based, occasional London meet-ups
  • Pension
  • Laptop
  • High ownership in a fast-moving AI transformation market
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