AI Architect
Name: Antonio Kümin
Alter: 39
Degree: Master of Science UZH in Information Systems
Profession: AI Architect and lecturer in AI management
Employer: Adcubum AG / Fachhochschule HWZ
What does an AI Architect do?
An AI architect develops the technical architecture for AI solutions, integrates them into existing systems, and ensures that they fit in with the business strategy. In doing so, they work closely with data scientists, developers, and specialist departments – acting as a link between technology and business. In addition to design and integration, strategic thinking and communication are also key.
What are the requirements for this profession?
You need in-depth expertise in AI/machine learning, software engineering, and the relevant field (e.g., healthcare). A university degree in (business) informatics or data science is a good founda-tion, supplemented by professional experience in software or data projects. It is also important to be willing to learn, have knowledge of regulation, analytical thinking, and strong communication skills in order to mediate between the worlds of business and technology.
What is the biggest challenge in this profession?
The biggest challenge is combining technical innovation with real business needs. AI projects are often experimental in nature and sometimes get stuck in the prototype stage. This makes it difficult to manage stakeholder expectations. As an AI architect, you not only have to overcome technical hurdles such as integration and scalability, but also explain uncertainties, build trust, and keep pace with rapid technological developments.
Why is it important for companies to invest in this area?
Companies that invest in AI early on can optimize processes, improve data-based decisions, and tap into new business models. However, it is essential to invest in the right structure and expertise. Without a well-thought-out AI architecture and experienced professionals, AI projects can quickly fall flat. The AI Architect ensures that AI initiatives are strategically aligned and implemented cleanly. This transforms investments into sustainable business value and keeps the company fu-ture-proof.
What does AI architecture mean to you personally?
For me, it means being an architect in the truest sense of the word: I design the blueprint for how data, algorithms, and technologies can be used to create something tangible that helps people in the company and generates business value. As with a building architect, trying out and pitching new ideas is very important. I find it incredibly exciting to work at the interface between high-tech and real business problems. From the question of which AI methods make sense from a technical standpoint to the technical implementation in the IT landscape.
What would you have liked to know about this profession when you graduated?
That topics such as data integration and change management are just as important as algorithms. The interdisciplinary nature of business informatics is a clear advantage here. At first, I wasn't sure whether my broad background would allow me to compete with specialized AI experts. Today, I know that it is precisely this combination of technical expertise and understanding of business processes that is crucial for success as an AI architect.
As of June 2025