Master Thesis: Agentic AI Workflow for SP Development Leadership

Stack

Responsibilities

• ▹Analyse the current SP development process across project management methodologies
• ▹Design an AI solution that supports information retrieval, documentation synthesis and risk analysis
• ▹Integrate approved knowledge sources with source traceability and human approval gates
• ▹Investigate how an AI agent can support SP drivers in coordinating stakeholders, sharing knowledge and preparing decision material
• ▹Evaluate the solution in terms of efficiency, information quality, decision readiness, process compliance, trust and safety
• ▹Identify opportunities to further support SP development leaders and propose an AI-resilient SP development process
• ▹Document the work, present the results and demonstrate the potential benefits for future software development

Requirements

• ▹Studying Computer Science, Software Engineering, Data Science or a related field
• ▹Interest in AI agents, agentic workflows, software development processes and the practical application of AI in complex organisational environments
• ▹Interest in leadership development and in how SP Drivers lead cross-functional, multi-stakeholder work
• ▹Interest in human-centred AI design, knowledge integration, information quality and responsible AI governance
• ▹Familiar with, or interested in learning about, agentic AI coding tools, harnesses, cloud-based services and related technologies
• ▹Strong analytical, problem-solving, research and communication skills

Soft skills