Thesis Worker - Future IT Delivery with AI

Scania is undergoing a transformation from being a leading supplier of trucks, buses, and engines to providing complete and sustainable transport solutions. Together with TRATON and our sister brands MAN, Volkswagen Truck & Bus, and International, we are working to shape the future of mobility with innovative and environmentally conscious solutions. Our values - customer first, respect, team spirit, responsibility, and elimination of waste - are at the heart of everything we do. Together, we are at the forefront of creating a sustainable future

Introduction
Generative AI and AI agents are rapidly changing how IT solutions are designed, developed, tested and operated. This thesis explores what that means for future IT delivery and how AI agents could become integrated contributors in future teams.

Background

Explore how AI agents can augment existing capabilities and which delivery activities they could perform or support. Consider how roles and competencies may evolve, how future teams should be organised, and where human ownership and control remain essential.

Goal
Develop a proposed Future IT Delivery Model for INAH, showing how people and AI agents can collaborate across the delivery lifecycle. Recommend how roles, competencies, responsibilities and governance may evolve. The aim is to build on existing roles and capabilities as AI changes how the team works, improving collaboration and enabling greater value. Keep human ownership and control clear.

Assignment description
Combine literature review and analysis with stakeholder interviews and practical experimentation. With the team, identify promising use cases, then build, adapt or test selected AI solutions, agents or prototypes. Use the experiments to generate concrete learning and assess what provides real value. Support your recommendations with selected examples of how AI can augment work across the delivery lifecycle. Research question might look something like this: How will AI and AI agents transform the IT delivery model, and how should future IT teams be structured to maximize value while maintaining human ownership and control?

Education and background

• Master's student in computer science, information technology, industrial engineering and management, interaction design or a related field.
• Curious about generative AI, AI agents and the future of software and IT delivery.
• Motivated to combine research, interviews and analysis with hands-on prototyping, and able to work with technical specialists and stakeholders and explain complex ideas clearly.
• Experience with AI tools, agent frameworks, software development or rapid prototyping is valuable; curiosity and willingness to learn are equally important.

Number of students: 1-2

Start date: To be agreed with the Thesis worker but approx. 2027-02-01.

Estimated duration: 15 or 30 ECTS

Contact person and supervisor

Jakob Söderlund Group Manager jakob.soderlund@scania.com , +46700815776

Ankit Naryani Supervisor ankit.naryani@scania.com , +46765166870

Application

Please include your CV, cover letter and transcript of grades.

A background check may be conducted for this position.

We are conducting interviews continuously and may close the recruitment earlier than the date specified.

Ärende-id: 34930

Antal lediga tjänster: 1.0

Deltid / Heltid: Heltid

Tillsvidare / Tidsbegränsad anställning: Visstidsanställd

Land / region: SE

Plats(er):
Södertälje, SE, 151 38

Resande tjänst: 0%

Arbetsplats: Hybrid