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Master Thesis: AI-Powered Usage of Husqvarna's Enterprise Design System

Husqvarna Group
Publicerad: 2026-05-27
Ansök senast: Öppet tillsvidare

Beskrivning

Last date to apply:
16 June 2026

Husqvarna Group is developing an enterprise design system to unify its brands, products, and digital platforms worldwide, supporting a diverse range of digital services for both consumers and professionals.

Meanwhile, AI-driven design and development processes are quickly gaining traction. We anticipate that designers and developers will increasingly rely on AI tools to create concepts, prototypes, interfaces, and code. Therefore, our design system must be built to accommodate and enhance this evolving workflow.

This thesis investigates how Husqvarna's enterprise design system can be organized and made accessible so that AI tools can effectively interpret and utilize its content, working alongside our designers and developers.

Thesis assignment

The goal of this thesis is to examine how designers and developers can leverage AI with Husqvarna's enterprise design system to speed up ideation, prototyping, and product development.

The thesis should explore how to structure, document, and present the design system so AI tools can interpret and apply its content effectively, ensuring consistency, accessibility, and proper governance.

The work will be conducted in collaboration with Husqvarna's Design System team and digital product teams.

The work includes
  • Investigation of how AI tools consume and interpret design system information
  • Evaluation of APIs, MCPs, embeddings, or similar approaches for exposing design system content to AI tools
  • Investigation of AI-assisted prototyping and UI generation workflows
  • Exploration of AI-assisted code generation using design system components
  • Analysis of governance, guardrails, and quality assurance for AI-generated solutions
  • Development of concepts, prototypes, or proof-of-concepts
  • Recommendations for future-ready design system architecture and content strategy


Expected outcomes

The expected outcome of the thesis is a set of insights, concepts, and recommendations describing how Husqvarna can enable designers and developers to effectively use AI together with the enterprise design system.

Expected deliverables may include:
  • A research summary and technology analysis
  • Concepts for AI-assisted workflows
  • Recommendations for AI-ready documentation and system structure
  • Prototype concepts or proof-of-concepts
  • Recommendations for implementation, governance, and future evolution


Who we are looking for

We are looking for a student enrolled in a master's programme in one of the following fields:
  • Computer Science
  • Human-Computer Interaction
  • Software Engineering
  • Applied AI / Machine Learning


We believe you have experience or interest in several of the following areas:
  • Frontend development and modern web technologies
  • UX/UI design processes
  • AI-assisted development tools and workflows
  • System architecture and APIs
  • Structured content and metadata


How to apply
Please send in your application with CV and cover letter as soon as possible. Due to GDPR, we do not accept applications by email.

Start date of the thesis project is in Autumn of 2026

For questions regarding the thesis project please contact:
Maya Haidar - Maya.haidar@husqvarnagroup.com

Read about Husqvarna Group here:
https://www.husqvarnagroup.com/

Husqvarna Group is a world-leading producer of outdoor power products for garden, park and forest care. Products include chainsaws, trimmers, robotic lawn mowers and ride-on lawn mowers. The Group is also the European leader in garden watering products and a world leader in cutting equipment and diamond tools for the construction and stone industries.

OM FÖRETAGET

Husqvarna Group

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