Design, develop, and maintain AI platforms to support the deployment of large language models (LLMs) and other AI solutions. Implement scalable and efficient AI systems, ensuring high performance, reliability, maintainability in production environments. Develop, fine-tune, and deploy AI models, including LLMs and NLP models, tailored to specific business requirements. Optimize model performance through hyperparameter tuning, feature engineering, and iterative testing and learning. Collect, preprocess, and analyze large datasets to train and fine-tune AI models. Ensure data quality and integrity throughout the AI model development lifecycle. Monitor the performance and response success of deployed AI models and systems, ensuring they meet business objectives and KPIs. Continuously improve AI systems through performance optimization and applying innovative solutions. Collaborate with cross-functional teams, including data scientists, machine learning specialists, data engineers, and business stakeholders, to integrate AI solutions into business processes. Communicate complex AI concepts and model outputs to non-technical stakeholders in a clear and actionable manner.