UK

United Kingdom · Learning and development · Mid-Level (2-5 years)

AI Learning Solutions Director

Here is the whole job, in plain words. What it is, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

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Free to start: a plan built for this role, and a Future Fluency module to try first. No card.

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Where should we send it?

One email: what AI is changing in this job, and where to start free. With a link back here. Nothing else follows unless you confirm your address.

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  • Experience bandMid-Level (2-5 years)
  • Direct reportsNo direct reports
  • Reports toLead AI Learning Architect
  • UK framework levelUsually a coordinator, or early in a professional job

Also advertised as AI Learning Specialist · Learning Experience Designer (AI) · Digital Learning Lead

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

Qualifi Level 3 Extended Diploma in IT and Data Science Qualifi Ltd · Level 3 · covers 1 of 3 standards
Qualifi Level 3 Diploma in Data Science Qualifi Ltd · Level 3 · covers 1 of 3 standards
LRN Level 3 Award in Artificial Intelligence Competence Learning Resource Network · Level 3 · covers 1 of 3 standards
Qualifi Level 4 Diploma in AI Qualifi Ltd · Level 4 · covers 1 of 3 standards
SIAS Level 2 Award in Applying Artificial Intelligence in Business SIAS · Level 2 · covers 1 of 3 standards
OCNLR Level 5 Diploma in Software Engineering with Artificial Intelligence OCN London · Level 5 · covers 1 of 3 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Machine Learning Methods and Models in Data Science Qualifi Level 3 Extended Diploma in IT and Data Science
Artificial Intelligence Project Design & Communication LRN Level 3 Award in Artificial Intelligence Competence
Introduction to Artificial Intelligence and Applications Qualifi Level 4 Diploma in AI
Using Artificial Intelligence in Business SIAS Level 2 Award in Applying Artificial Intelligence in Business
Machine Learning Algorithms OCNLR Level 5 Diploma in Software Engineering with Artificial Intelligence

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
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Your Plan Illustration

Built for AI Learning Solutions Director

5 units that map to this job, from the qualifications that cover it.

  1. Machine Learning Methods and Models in Data Science Qualifi Ltd · covers 1 of 3 standards Level 3
  2. Artificial Intelligence Project Design & Communication Learning Resource Network · covers 1 of 3 standards Level 3
  3. Introduction to Artificial Intelligence and Applications Qualifi Ltd · covers 1 of 3 standards Level 4
  4. Using Artificial Intelligence in Business SIAS · covers 1 of 3 standards Level 2
  5. Machine Learning Algorithms OCN London · covers 1 of 3 standards Level 5
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as an AI Learning Solutions Director?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Effective Prompt Engineering for L&D
  • Basic AI Model Understanding (for L&D)
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your AI Learning Solutions Director plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

Start my AI Learning Solutions Director plan, free Ready to pay? Subscribe for £70 a month

3What this role really is

Designs AI-powered learning experiences that adapt to how people actually learn. This role builds and improves learning that responds to the learner, rather than fixed courses. It means working with AI tools to shape learning that changes as someone progresses, and checking that it makes a real difference.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Degreed / Cornerstone Xplor (LXP) Intermediate

Managing content channels, uploading new AI-generated content, troubleshooting user access issues, pulling standard engagement reports.

Synthesia / Articulate 360 (AI features) / Vyond (AI features) Intermediate

Creating AI-narrated videos, building interactive modules with AI assistance, fine-tuning AI avatars and voices for learning content.

Tableau / Power BI Basic

Building simple dashboards from pre-defined data sources, updating recurring reports on learner engagement and content usage.

Jira / Notion Intermediate

Managing project tickets and tasks, documenting learning development processes, contributing to the team's knowledge base.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
LXP Configuration/Content Uploads Requires manager approval for all changes. Independent decision-making within established LXP guidelines; escalate complex integrations or new feature rollouts. Defines LXP configuration standards; approves major platform updates and integrations.
AI Content Creation Tool Selection Uses pre-selected tools; no input on new tool adoption. Proposes and pilots new AI content creation features or minor tools for specific projects; manager approval needed for purchase. Evaluates and recommends new AI content creation tools for team-wide adoption, considering cost and scalability.
Learning Data Reporting Pulls standard reports as requested. Builds new dashboards from existing data sources; identifies trends and proposes basic insights to manager. Designs complex data models; correlates learning data with business KPIs; presents insights to leadership.
Project Task Prioritisation Tasks assigned by manager; no independent prioritisation. Prioritises own tasks within a project plan; flags potential conflicts or delays to manager. Manages project timelines and resource allocation for entire workstreams; negotiates priorities with stakeholders.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

LXP Support Ticket Resolution Rate
How quickly and effectively you resolve issues users have with our learning platforms and content.
Target · 95% of tickets resolved within 24 business hours

You'll fix 19 out of 20 reported LXP login or content access issues within a day, ensuring people aren't stuck waiting to learn.

AI Content Accuracy & Tagging
The precision of metadata and skill classifications for content you manage or create, ensuring our AI can recommend the right stuff.
Target · 99% accuracy in content tagging and metadata

When we audit 100 pieces of content you've worked on, only one will have an incorrect skill tag or missing description, meaning our skills-based ontology stays clean.

AI-Powered Course Build Deadlines
Your ability to deliver AI-generated or AI-enhanced learning modules and courses on time.
Target · 90% of assigned course builds delivered by the agreed-upon deadline

If you're building five new AI-narrated sales training modules, four of them will be ready exactly when we said they would be, or even earlier.

Learner Engagement for Owned Content
How much our employees actually interact with and complete the specific AI-powered content and pathways you've built.
Target · 70% completion rate and 80% learner satisfaction (average) for your key programmes

For the new AI-driven onboarding pathway you created, seven out of ten new hires will finish it, and eight out of ten will rate it highly for usefulness and experience.

Proactive Problem Solving
Identifying potential issues with learning content, platforms, or AI recommendations before they become big headaches for learners or the team.
  • You're the one flagging that a specific AI tool might be recommending outdated content, or that a new LXP feature isn't quite working as expected, and you come with a suggestion, not just a problem. You'll spot the glitch in the matrix, so to speak.
Content Quality & Effectiveness
The learning experiences you build are not just technically sound, but genuinely clear, engaging, and help learners achieve their goals.
  • Feedback from learners consistently highlights the clarity and usefulness of your content. Colleagues will ask you for advice on how to make their modules more interactive or engaging, because they've seen your work and it's good.
Collaboration with Peers & Internal Clients
Working smoothly with other L&D team members, IT, and the business units you're supporting to get things done.
  • You're known for being easy to work with. Project teams will mention how you keep them in the loop and are responsive to their needs. You'll get on with the IT Security team, not just tolerate them, because you understand their perspective.
Adaptability to New Technologies
Your willingness and ability to quickly learn and apply new AI tools and features as they emerge.
  • You're often the first on the team to try out a new AI content creation tool or LXP feature. You'll share what you've learned, showing others how to use it, rather than waiting for formal training. You're keen to experiment.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Seeing Direct Impact

You'll get a real kick out of seeing your AI-powered learning modules being used by employees and getting positive feedback. It's about knowing your work isn't just sitting on a shelf.

Someone from Sales tells you the AI-driven product guide you helped build saved them time during a client call. That's your fuel.

Mastering New Technology

You're genuinely excited by the prospect of learning new AI tools, understanding how they work, and figuring out how to apply them to real-world learning challenges. You enjoy the 'puzzle' aspect of it all.

Spending an afternoon figuring out a new feature in Synthesia or how to pull a tricky report from Degreed feels like a win, not a chore.

Solving Practical Problems

You're motivated by taking a messy, manual learning process and figuring out how AI or smart tech can make it smoother, faster, or more personalised for our employees.

You take an old, clunky compliance training module and propose how AI could make it adaptive, so people only see what they actually need to learn.

What frustrates people
  • The 'Data Plumbing Nightmare': You'll be wrestling with messy, incomplete data from various systems more often than you'd probably like, just to get it into a usable format for AI.
  • The 'Hype-Reality Gap': You'll constantly be managing unrealistic expectations from colleagues who've read a headline about AI and expect magic by tomorrow.
  • 'Garbage In, Garbage Out': A lot of your time might be spent sorting through and improving existing, often outdated, content before any AI can make sense of it.
  • Learner Apathy: Even with the coolest AI, some people just won't engage. It's a constant battle to make learning compelling enough for busy employees.
What this role does not give you
  • A purely strategic, hands-off role; you'll be building and implementing, not just planning.
  • A perfectly clean, well-organised data environment from day one; you'll be part of the cleanup.
  • Guaranteed, immediate, enterprise-wide adoption for every single initiative you launch.
  • A role where you can avoid the nitty-gritty of content creation and platform administration.

8Who you work with

This role directly improves employee capability and efficiency. By building effective, AI-driven learning solutions, you're helping reduce the 'time-to-competency' for new hires and ensuring existing staff have the skills they need to adapt to changing business demands. Ultimately, you're making our workforce smarter and more agile, which is a pretty big deal.

Inside the business
  • Your Manager (Lead AI Learning Architect)
  • Other L&D Specialists (peers)
  • IT Security and Infrastructure teams
  • Product & Sales Enablement teams (as internal clients)
  • HR Business Partners
Outside the business
  • Learning Experience Platform (LXP) vendors
  • AI Content Creation tool providers

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • At least 2 years of hands-on experience in a learning technology, instructional design, or digital learning role.
  • Proven ability to use learning platforms (LMS/LXP) for content management and user support.
  • Demonstrable experience creating digital learning content using authoring tools (e.g., Articulate Storyline, Rise, Vyond, Camtasia).
  • A foundational understanding of data and how it can be used to inform learning decisions.
  • Experience working within project teams, managing your own tasks and contributing to larger goals.

10What to practise next

Where the job is going, and what to do about it starting this week.

Advanced LXP Configuration & Integration

As our LXP becomes more central, you'll need to go beyond basic content management. This means understanding how to configure adaptive learning pathways, set up more complex recommendation rules, and potentially integrate with other HR systems for richer data.

Adaptive Pathway Logic · API Basics for Integrations · xAPI Statement Design

  • This week: Explore the advanced configuration settings within our current LXP. What features aren't we using?
  • This month: Work with your manager to identify one area where we could make our LXP more adaptive or personalised.
  • Month 2: Research how our LXP integrates with other common HR systems. What data flows where?
  • Month 3: Propose a small pilot project to test a new LXP feature or a more complex adaptive pathway.

Quick win: Volunteer to be the LXP 'super-user' for the team. This forces you to learn the platform inside out.

AI Content Creation Mastery & Workflow Optimisation

It won't be enough to just create AI videos; you'll need to become an expert at optimising the entire workflow. This means fine-tuning AI outputs, integrating AI tools into a seamless content pipeline, and training others on best practices for efficient, high-quality AI-assisted content creation.

AI Voice & Avatar Customisation · Automated Content Review Workflows · Script-to-Video Automation

  • This week: Challenge yourself to create a short learning video using only AI tools, from script to final edit.
  • This month: Experiment with different AI voices and avatars. Which ones work best for different types of content?
  • Month 2: Document your most efficient AI content creation workflow and share it with the team.
  • Month 3: Look into how AI tools could help us translate content into multiple languages more efficiently.

Quick win: Offer to create a quick AI-generated explainer video for a colleague's project. Practice makes perfect.

11Staying current once you are in

What people here do to keep up
  • Attending industry webinars and conferences focused on AI in L&D (e.g., Learning Technologies, DevLearn).
  • Participating in online communities or forums dedicated to AI tools for content creation or learning platforms.
  • Taking online courses on prompt engineering, data visualisation, or specific AI applications in education.
  • Actively experimenting with new AI tools and features in your own time, building a portfolio of small projects.
  • Reading relevant industry publications, blogs, and academic papers to stay abreast of emerging trends.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Effective Prompt Engineering for L&D

AI tools are only as good as the instructions you give them. The ability to craft precise, effective prompts will be the difference between getting generic rubbish and genuinely useful, tailored learning content or insights. It's already happening, and it's only getting more important.

  • Context Windows & Token Limits
  • Temperature Settings
  • Role-Playing Prompts
  • Output Validation & Hallucination Detection

Basic AI Model Understanding (for L&D)

You don't need to be a data scientist, but understanding the basic principles behind how AI models work will help you make better decisions about which tools to use, how to interpret their outputs, and where their limitations lie. It's about being an informed user, not a builder.

  • Supervised vs. Unsupervised Learning (simplified)
  • Recommendation Engines (how they work)
  • Algorithmic Bias (in content & recommendations)
  • Retrieval-Augmented Generation (RAG) concept

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Adaptive Learning Design Principles
  • Skills Ontology & Taxonomy Application
  • Learning Analytics & xAPI Data Interpretation
  • Performance Consulting Fundamentals
  • Agile Instructional Design (SAM)

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Learning Technologist (L1)

    1-2 years

    Skills to master

    • LXP administration, basic content upload, user support, troubleshooting common platform issues, understanding content metadata.

    You're ready to move on when

    • You can independently manage user accounts and content within our LXP.
    • You consistently resolve level-1 support tickets efficiently.
    • You're keen to learn about new learning technologies and their potential.
  2. 2

    Instructional Designer

    2-4 years

    Skills to master

    • Adult learning theory, course design principles, content authoring (Articulate, Storyline), assessment design, stakeholder collaboration for content development.

    You're ready to move on when

    • You've successfully designed and delivered several engaging digital learning modules.
    • You can translate complex topics into clear, digestible learning content.
    • You're starting to think about how technology can enhance learning experiences.
  3. 3

    Digital Learning Coordinator

    2-3 years

    Skills to master

    • Project coordination, vendor management (for content/tools), basic data reporting, communication with learners, managing learning campaigns.

    You're ready to move on when

    • You've successfully managed the rollout of digital learning programmes.
    • You're organised and can juggle multiple moving parts in a project.
    • You understand the learner journey and how to promote engagement.

15Where this role leads

The long view: This work can lead to designing the framework behind large AI learning programmes, or managing a team of AI learning specialists. From there it can lead to setting the direction for AI and performance solutions across a business.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how AI Learning Solutions Director is actually changing.

Where it leads

Roles this leads to

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Machine Learning Methods and Models in Data Science, worked against AI Learning Solutions Director.

Machine Learning Methods and Models in Data Science Level 3

Applied to your work in AI Learning Solutions Director

The objective of this unit is to provide learners with a foundational understanding of machine learning methods and models used in data science. Learners will gain knowledge of supervised, unsupervised, and reinforcement learning, including their applications and key characteristics.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

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See Your Progress Grow Illustration
AI Learning Solutions Director
  • Adaptive Learning Design Principles
  • Skills Ontology & Taxonomy Application
  • Learning Analytics & xAPI Data Interpretation
  • Performance Consulting Fundamentals
  • Agile Instructional Design (SAM)
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

AI Learning Solutions Director is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Senior AI Learning Strategist (L3)

    3-5 years in current role

    From Mid-Level to Senior

    • Full Adaptive Learning Programme Design Architecting complex, multi-path adaptive learning journeys.
    • AI Ethics & Governance Application Leading discussions and ensuring ethical use of AI in learning.
    • Advanced Learning Analytics Correlating learning data with business KPIs to demonstrate ROI.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, you've got a lot on your plate. The good news is, AI isn't just a buzzword here; it's a genuine tool that'll make your life easier and your work more impactful. We're not talking about replacing you, but giving you a serious superpower.

For an AI Learning Solutions Director at this level, AI means less time on the tedious bits and more time on the creative, problem-solving stuff. Think of it as having a super-efficient assistant for content creation, data analysis, and even your daily comms. Here's how you'll actually use AI to get more done:

Smart Content Tagging

Imagine feeding thousands of old learning documents into an AI and having it automatically suggest skill tags, summaries, and categories. You'll use this to massively speed up content organisation and make sure our LXP’s recommendation engine actually works. No more manual tagging marathons.

Quick Feedback Analysis

Got hundreds of open-ended comments from a course review or engagement survey? Instead of reading every single one, you'll use AI to instantly identify key themes, common pain points, and knowledge gaps. This means you get to the 'so what' much faster, helping you refine learning experiences without weeks of manual analysis.

Rapid Research Assistant

Need to quickly understand the latest trends in adaptive learning or find best practices for AI ethics in L&D? You'll use AI research agents to synthesise academic papers, vendor whitepapers, and competitor analyses into concise summaries. This frees you up from endless Googling and lets you focus on applying the insights.

Personalised Comms Drafts

Launching a new learning programme? You'll use AI to draft hyper-personalised emails and announcements, tailoring the message, benefits, and call-to-action for different employee groups (e.g., engineers vs. marketers). This makes your comms more effective and saves you hours of writing from scratch.

Common questions

Common questions

How do you become an AI Learning Solutions Director?

Common routes in include Learning Technologist (1-2 years), Instructional Designer (2-4 years) and Digital Learning Coordinator (2-3 years). Times vary with prior experience.

Where can an AI Learning Solutions Director progress to?

This role can lead on to Senior AI Learning Strategist (3-5 years in current role), depending on the skills you build.

What new skills matter most for an AI Learning Solutions Director?

Increasingly, Effective Prompt Engineering for L&D and Basic AI Model Understanding (for L&D). These are the skills our record of this role lists as growing.

Free tools

Want a read on where you stand?

Three free tools, no account needed. Each one ends with a role, a level and a way in.

Read the Zavmo manifesto to understand how you will be taught Meet your tutors

Or try another one

17Where to go from here

Other roles at Level 3

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in learning and development

Stay in the field you know and move sideways rather than up.
If you leave this industry

The skills built here, in AI, learning technology, and measuring impact with data, carry across sectors. They can lead to roles in EdTech, product management for learning platforms, or wider digital transformation work in other industries.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my AI Learning Solutions Director plan, free What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.