GenAI Code Analysis and Training For IBM Watsonx Code For Z

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 GenAI Code Analysis and Trainer, you will leverage your deep understanding of mainframe systems to train AI models, enabling them to analyze, explain, and transform HLASM. 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 and transforming 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.