On the threshold of a new technological era, Sixth Generation (6G) networks promise to revolutionize global connectivity, bringing mobile communications to data speeds in the terabits per second range and ultra-low latency. These networks will enhance the user experience enable a wide range of advanced applications and emerging services. Artificial Intelligence (AI)- powered network functions and services are essential to achieve this high speed and low latency. AI has been shown to provide the capabilities to manage such complex networks beyond traditional algorithms. In this study, we present the design and development of an end-to-end framework for orchestrating AI-based functions. Utilizing Kubernetes (K8s) and Prefect, we showcase its implementation through an AI-driven traffic classification use case. Our results confirm the feasibility of the proposed framework, offering valuable insights into the Orchestrator design, such as data collection, decision-making, and critical performance metrics, including deployment time. These results are crucial for understanding the potential of AI in network orchestration and will undoubtedly enhance your knowledge in this field.