Technical Instructional Designer (AI Programmes)

Multiverse Group; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Multiverse Group in the United Kingdom is seeking a hands-on learning designer to sit above our AI-assisted content pipeline. You’ll be the human judgment layer, blending subject-matter expertise with instructional design to ensure AI outputs land with learners.

You’ll design outcomes using ADDIE and backward design, fix flawed AI explanations, and craft high-touch, high-stakes learning moments that genuinely change careers, working with Programme Designers and senior stakeholders.

Qualifications

• Experience building measurable, job-aligned outcomes.
• Able to convert learning goals into engaging content.
• Strong judgment over AI-generated explanations.
• Proven ability to influence senior stakeholders.
• Comfort with high-touch, high-stakes learning moments.
• Resilient and proactive in improvements.

Responsibilities

• Design outcomes using backward design to make on-the-job skills measurable.
• Identify when content isn't landing and implement revisions.
• Create high-touch programs and assets AI can't replicate.
• Leverage AI tools and prompting to accelerate content development.
• Advise up and collaborate with Programme Designers and stakeholders.
• Prototype new learning formats and ensure sustainability.

Skills

ADDIE design

Backward design

Prompt engineering

AI content design

Stakeholder influence

Resilience

Education

Data or Computer Science degree

Technical apprenticeship in Data or AI

2+ years AI experience

Tools

Claude

Copilot

Prompting tools

Job description

Every team has AI. Few have mastered it. Humans were built to adapt, but AI is now moving faster than most workforces can.

Multiverse is the AI adoption layer: the missing link between the AI tools that companies have invested in and the people expected to use them.

Our ambition is to put AI capability in every worker’s hands. Apprenticeships got us started: we’ve trained over a third of the UK’s data and AI apprentices, worked with a third of the FTSE 100, and generated £2bn+ in verified ROI. Now Mastry, our new adaptive learning platform, takes that further, guiding a company’s AI workforce transformation from start to finish. Mae, our AI guide inside Mastry, is a real-time AI agent that thinks, speaks, listens and sees, working alongside the tools you already use, like Claude and Copilot.

We closed our latest fundraising round in April 2026, with $500m+ raised in total from VC partners including Index Ventures, General Catalyst, Schroders Capital and Lightspeed. With a $2.1bn valuation, we are Europe’s first EdTech double unicorn, and we are just getting started.

If you want to shape how the workforce wins in the AI era, come and join us.

The opportunity

AI can draft a lesson in seconds. It can't tell you whether that lesson will actually land with a nervous career-switcher three weeks into an AI apprenticeship — or whether the concept it just explained is subtly, but fundamentally, flawed.

That's where you come in.

You'll be the human judgement layer sitting on top of our AI-assisted content pipeline — part subject-matter expert, part instructional designer. You'll decide what AI got right, fix what it didn't, and build the parts no AI can: the high-touch, high-stakes, deeply human moments in a learner's journey that make the difference between content that's technically correct and content that actually changes someone's career.

You'll have experience building content in generative and/or agentic AI — not just someone who's read about it, but someone who can explain it, question it, and know when the AI-generated explanation of tricky subjects is actually going to help a learner or quietly confuse them.

What you'll actually do

• Design outcomes, not just content. Apply end-to-end backward design to build AI programmes and content where success is measured by what learners can do on the job — not just what they can pass a test on. You'll own the hardest part: turning a job-aligned outcome into content that actually gets learners there.

• Chase real-world impact, relentlessly. When a piece of learning isn't landing — when an AI practitioner cohort isn't showing the outcomes it should — you won't wait to be told. You'll spot it, own it, and scope the revisions that bring it up to the standard it needs to hit.

• Build what AI can't. Design the custom, high-touch programmes and creative assets — branching narratives, bespoke multimedia, high-stakes onboarding moments — that need real human empathy, creativity, and nuance. If AI could have built it, it's not your job; if only a person could, it is.

• Put AI to work, deliberately. Use AI tools and prompt engineering to accelerate your own content development and uncover learning design approaches nobody's tried yet. This isn't about using AI because it's there — it's about knowing exactly where it earns its place.

• Advise up, not just build. Work directly with Programme Designers and senior stakeholders on the quality and pedagogical effectiveness of the content you design. Your feedback doesn't stay in the room — it shapes how our rules, principles and frameworks evolve.

• Prototype for the long game. Lead new learning formats and modalities that don't exist yet — and know how to balance shipping fast against building something sustainable enough to reuse.

What you'll bring

• Real command of end-to-end ADDIE and backward design — you've built measurable, job-aligned outcomes and the assessments that prove learners hit them, not just theoretical frameworks on a CV.

• A habit of treating "good enough" as a starting point, not a finish line — you notice when learning isn't driving real outcomes, and you take the initiative to fix it.

• Genuine fluency with AI-powered tools and prompt engineering, used to accelerate content development and find genuinely new applications in learning design.

• The ability to take a genuinely complex generative and/or agentic AI concept and design a learning experience around it that actually works — for a range of different learner personas

• The confidence and track record to influence peers and senior stakeholders toward a specific, measurable curriculum improvement — not just raise a concern and move on.

• Resilience when things don't go to plan — you can point to a time a project hit a real obstacle (a blocker, a shifting SME, a launch that missed the mark) and describe exactly what you did about it, and what you learned.

What gets you in the door

You'll need at least one of these:

• Hands‑on experience producing technical content for generative and/or agentic AI.

• 2+ years designing instructional content in a commercial environment or for commercial clients.

• Plus one of:

  • A Data or Computer Science degree (or close cousin of one)

  • Completion of a technical apprenticeship in Data or AI

  • 2+ years working as a practitioner in Data or AI

If you're a strong technical practitioner who's never formally studied instructional design, or a seasoned learning designer who's spent the last year deep in AI tools — either path can get you here. We're looking for the judgment, not a checklist.

What we'll actually explore together

We're upfront about what our process looks for, because we'd rather you come prepared to talk about the real thing than guess what we want to hear. Across the conversations, we'll dig into:

• Advanced curriculum & applied design — how you turn an end-to-end backward-design process into measurable, job-aligned outcomes, and how you build creative assets that genuinely need a human touch.

• Impact & excellence — what you do when a piece of learning isn't hitting its real‑world mark, and how you weigh speed against building something built to last.

• AI integration & innovation — where and how you've put AI tools and prompt engineering to work, and what that's actually unlocked.