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AI Learning Architect

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Multiverse

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Location:
United Kingdom , London

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Category:
Education

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Contract Type:
Not provided

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Salary:

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Job Description:

In this pivotal role, you will be the chief architect of the pedagogical soul of our AI-powered learning content generation system. You will bridge the gap between cutting-edge learning science and artificial intelligence, designing the rules, frameworks, and logic that will enable our AI to create world-class, effective learning experiences at scale. Your work will ensure our educational content and learning experiences are not only engaging but are built upon a foundation of proven pedagogical principles, constructivist theory, and our unique problem-first, hands-on approach.

Job Responsibility:

  • Architect AI Learning Frameworks: Design, develop, and document a comprehensive set of rules and principles for our AI to follow when generating learning content. This framework will be the blueprint for our entire learning methodology
  • Embed Pedagogical Excellence: Translate established learning pedagogy, andragogy, and cognitive best practices into a clear, logical, and machine-readable rule set. You will be the expert voice ensuring our AI teaches effectively
  • Champion Hands-On Learning: Codify our problem-first, hands-on instructional sequencing into the AI's core logic, ensuring all generated content aligns with our active learning philosophy
  • Navigate Regulatory Landscapes: Integrate the complex regulatory requirements of the UK apprenticeship levy (and others as we expand) into the learning design rules, ensuring all content is compliant and of the highest standard
  • Collaborate with AI Teams: Partner closely with AI developers and engineers to ensure your pedagogical frameworks are accurately interpreted and implemented within the AI models
  • Empower Content Experts: Work in a close, collaborative partnership with programme and instructional designers and subject matter experts. You will enable them to leverage the frameworks you build and establish a continuous feedback loop to refine and improve the pedagogical rule set
  • Iterate and Innovate: Continuously evaluate the quality of AI-generated content, refining and iterating upon the learning rules to drive constant improvement and innovation
  • Stay at the Forefront: Remain current on emerging trends and research at the intersection of learning science, adult education, and artificial intelligence, bringing new ideas and best practices to the team

Requirements:

  • Substantial and demonstrable experience in pedagogical design, learning architecture, or senior instructional design roles, with a strong focus on adult learners and work-based learning
  • A deep understanding and practical application of learning theories, particularly constructivism, and experience designing learning frameworks that prioritise problem-based or hands-on activities over traditional academic approaches
  • Proven experience developing and implementing scalable learning frameworks or systems that have been successfully used by other instructional designers or content creators
  • Familiarity with the UK apprenticeship levy and its regulatory requirements is highly desirable
  • Solid understanding of how Large Language Models (e.g. Gemini, ChatGPT etc.) work and their usage in a content creation workflows
  • While direct experience writing rules for AI is a plus, we are equally interested in candidates who have created highly structured, rule-based learning frameworks for human designers
  • Exceptional analytical, conceptual, and systems-thinking skills, with the ability to deconstruct complex pedagogical concepts into precise, logical rules
  • Outstanding communication and collaboration skills, with the ability to act as the bridge between academic theory and technical implementation
  • A passion for the future of education and a belief in the power of technology to revolutionise how people learn and develop new skills

Nice to have:

  • Familiarity with the UK apprenticeship levy and its regulatory requirements is highly desirable
  • While direct experience writing rules for AI is a plus, we are equally interested in candidates who have created highly structured, rule-based learning frameworks for human designers
What we offer:
  • Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
  • Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
  • Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
  • Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
  • Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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