AI Learning Architect

Multiverse is the upskilling platform for AI and Tech adoption.

We have partnered with 1500 companies to deliver a new kind of learning thats transforming todays workforce.

Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI data and tech skills. Our learners have driven $2bn ROI for their employers using the skills theyve learned to improve productivity and measurable performance.

In June 2022 we announced a $220 million Series D funding round co-led by StepStone Group Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn the round makes us the UKs first EdTech unicorn.

But we arent stopping there. With a strong operational footprint and 800 employees we have ambitious plans to continue scaling. Were building a world where tech skills unlock peoples potential and output.

Join Multiverse and power our mission to equip the workforce to win in the AI era.

Overview:

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.

What Youll Do:

• 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 AIs 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.

What Youll Bring:

• 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.

Benefits

• 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 - we collaborate in the office 3 days per week

• Work-from-anywhere scheme - youll have the opportunity to work from anywhere up to 10 days per year

• Team fun - weekly socials company wide events and office snacks!

Our commitment to Diversity Equity and Inclusion

Were an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race colour ancestry religion sex national origin sexual orientation age citizenship marital status disability gender gender identity or expression or veteran status. This will never change. Read our Equality Diversity & Inclusion policy here.

Right to Work

Do you have the right to work in the UK Unfortunately at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.

Safeguarding

All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service (DBS) for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.