**Introduction** IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business. **Your role and responsibilities** Your Role and Responsibilities Are you a mainframe developer looking to expand your career into the cutting-edge world of Artificial Intelligence? Do you want to be part of a transformative journey that combines decades of mission-critical mainframe expertise with the innovation of generative AI? Join us in a role that creates a unique synergy between traditional mainframe systems and modern AI technologies. As a Mainframe Developer - Code Analysis and Training, you will leverage your deep understanding of mainframe systems to train AI models, enabling them to understand our mainframe programmimg languages. This role offers an unparalleled opportunity to transition into AI by applying your existing skills to build next-generation tools for mainframe modernization. Your work will directly contribute to developing Large Language Models (LLMs) that help enterprises modernize their legacy systems, bridging the gap between the trusted reliability of mainframes and the dynamic capabilities of generative AI. Key Responsibilities: * Create and refine datasets for training LLMs on interpreting mainframe code, especially HLASM. * Apply your mainframe expertise to code analysis, enabling AI models to generate accurate, meaningful outputs. * Collaborate with cross-functional teams to validate AI-driven solutions for code transformation and explanation tasks. Why This Role is Unique: * Expand Your Horizons: Transition into the fast-growing field of AI while leveraging your core mainframe skills. * Be at the Forefront: Work on high-impact projects that redefine how enterprises modernize their legacy systems. * Shape the Future: Use your expertise to train AI models, enabling them to bridge the gap between legacy systems and modern development practices. * Build In-Demand Skills: Gain valuable experience in AI model training, program analysis, and code transformation, setting you up for the future of tech. **Required technical and professional expertise** * Proficiency in HLASM programming. * Strong communication and collaboration skills. * Demonstrated ability to work effectively with remote and distributed teams. **Preferred technical and professional experience** * Experience with Java programming. * Familiarity with Agile development methodologies.