Global warming and its consequences are substantially affecting the socio-economic development of the world. Recent studies show that there is an increase in the magnitude and frequency of Extreme Precipitation (EP) events. The EP characteristics play a significant role in (i) the design and analysis of water infrastructure; (ii) integrated watershed management; and (iii) flood risk management. Most of these applications are based on the assumption that EP over time remains stationary, which may not hold in the context of climate change. The variations in ocean-atmosphere-land interactions occurring at several spatio-temporal scales caused due to climate change and natural climate variability, primarily influence the changes in EP over time (non-stationarity in EP). Therefore, this study proposes a non-stationary modeling framework for EP that includes: i) identification of non-uniform time-lags for the covariates, ii) multivariate selection of interdependent covariates, iii) identification of optimal non-linear functional relationships, and iv) regional frequency analysis of extreme precipitation. The developed framework is applied to the Monsoon Asia Region.