As the advent of AI—especially large language models (LLMs) like OpenAI’s GPT-4o—has added new dimensions to enterprise software development, the role of an IT architect has become increasingly critical and complex.
Effectively leveraging these models requires more than simply integrating AI capabilities; it necessitates a comprehensive approach to solution-building. This includes understanding architectural patterns, best practices for cloud-native applications and making strategic decisions regarding database selection.
All of these factors are compounded by the fact that the IT architect must act as a conductor, ensuring the team utilizes advanced prompt engineering and business-led instructions to fully harness AI tools.