AI Learning Architect Job at Multiverse (London)

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!

Multiverse - All Job Offers

Select Country

AI Learning Architect

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

AI Learning Architect

Solutions Architect – AI and Innovative Technologies

Ai Architect

Senior Cloud Solution Architect - AI Business Process

Cloud Solution Architect - AI & Apps

Software Architect - Ai Platform

AI Architect

Ai Architect With Sap

Ai Architect

Our AI answers in your language