This research employed a mixed-methods approach (qualitative and quantitative) to design an artificial intelligence (AI) model for determining human resource (HR) strategies at Bank Melli Iran. In the qualitative phase, 14 academic experts in human resource management and computer science were selected using snowball sampling, and data were collected through semi-structured interviews and analyzed using grounded theory. In the quantitative phase, a questionnaire based on the qualitative findings was distributed after confirming its validity and reliability. Data analysis through three stages of coding resulted in the extraction of 151 codes and six main categories. The findings indicated that causal factors such as data management quality, digital leadership, and the smartization of recruitment processes, along with contextual conditions such as fostering a culture of innovative financial services and managing digital skills, influence the success of the model. The main barriers included fostering a positive attitude toward AI and raising awareness of its benefits. The proposed strategies emphasized the interaction of AI with information technology, strategic transformation, and a focus on electronic markets. The implications of implementing the model included increased competitive advantage, cost reduction, operations automation, improved employee selection, and data-driven decision-making. Ultimately, this study demonstrated that AI can play a key role in the banking industry by transforming HR strategies, optimizing processes, and enhancing decision-making.