• Leverage generative AI tools to analyze and understand complex legacy mainframe codebases (COBOL, PL/I, etc.). • Identify patterns, dependencies, and potential areas for optimization. • Utilize AI to assist in refactoring, translating, or re-architecting mainframe applications into modern languages and architectures (Java, Python, microservices, etc.). • Implement AI-driven code generation to accelerate modernization efforts while ensuring code quality and maintainability. • Design and implement strategies for migrating data from legacy mainframe systems to modern databases or cloud platforms. • Leverage AI to automate data transformation and ensure data integrity. • Develop and execute comprehensive testing plans to ensure modernized applications meet functional and performance requirements. • Utilize AI for automated test case generation and test execution. • Work closely with mainframe experts, architects, and other developers to understand modernization goals and constraints. • Stay abreast of the latest advancements in generative AI and apply them to improve modernization processes.