AI Learning Architect at Multiverse

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, AI, Technology, EducationIndustries

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

AILearning SciencePedagogyAndragogyCognitive ScienceInstructional DesignConstructivist TheoryLearning Frameworks

Questions & Answers

Common questions about this position

Is this role remote or hybrid?

The position is hybrid.

What are the main responsibilities of the AI Learning Architect?

You will architect AI learning frameworks, embed pedagogical excellence, champion hands-on learning, navigate regulatory landscapes, collaborate with AI teams, empower content experts, and iterate and innovate.

What is the company culture like at Multiverse?

Multiverse emphasizes collaboration, hands-on active learning, continuous feedback loops, and a mission to equip the workforce for the AI era through upskilling apprenticeships.

What salary or compensation does this role offer?

This information is not specified in the job description.

What makes a strong candidate for this AI Learning Architect role?

Strong candidates will have deep expertise in learning science, pedagogy, andragogy, cognitive best practices, constructivist theory, hands-on learning approaches, and familiarity with UK apprenticeship regulations, plus the ability to translate these into machine-readable rules.

Multiverse

Provides professional apprenticeships for workforce development

About Multiverse

Multiverse focuses on workforce development through professional apprenticeships, providing on-the-job training programs that help individuals gain skills for high-paying jobs and career advancement. The company operates in the United States and the United Kingdom, partnering with various organizations to tailor apprenticeship programs to meet specific employer and individual needs. Unlike traditional hiring methods, Multiverse's approach is designed to be equitable and accessible, allowing diverse talent to succeed. The company also offers ongoing support and mentorship to apprentices, ensuring they can navigate their career paths effectively. Multiverse's goal is to create a diverse group of future leaders by transforming the way talent is developed and nurtured.

London, United KingdomHeadquarters

2016Year Founded

$402.7MTotal Funding

SERIES_DCompany Stage

Social Impact, AI & Machine Learning, EducationIndustries

1,001-5,000Employees

Risks

Competition from universities offering flexible, career-focused programs may challenge Multiverse.

Rapid AI development could outpace Multiverse's training program updates.

Economic downturns may reduce corporate spending on training, impacting revenue.

Differentiation

Multiverse offers AI-powered apprenticeships, a unique alternative to traditional university education.

The company partners with diverse industries, enhancing workforce skills through tailored programs.

Multiverse's acquisition of Searchlight boosts its AI capabilities and competitive edge.

Upsides

Partnership with Microsoft aims to skill 1 million people in AI by 2025.

Recent leadership appointments focus on financial growth and curriculum development.

AI-Powered Productivity apprenticeships are accredited and eligible for public funding in the UK.

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