Mainframe Developer AI/GenAI Exp

• Design, develop, maintain, and support IBM Mainframe applications using COBOL, JCL, CICS, DB2, VSAM, and related technologies.

• Analyze existing mainframe applications and identify modernization opportunities using AI/GenAI solutions.

• Develop AI-powered tools and automation solutions for code analysis, documentation generation, testing, and application modernization.

• Integrate mainframe systems with cloud platforms, APIs, and AI/ML services.

• Collaborate with business stakeholders, architects, and development teams to define technical solutions and modernization strategies.

• Perform impact analysis, code reviews, debugging, and performance tuning of mainframe applications.

• Develop and maintain technical documentation, process flows, and system specifications.

• Support application migration, refactoring, and transformation initiatives.

• Implement security, compliance, and governance standards across mainframe and AI solutions.

• Participate in Agile development processes, sprint planning, and technical design discussions.

• Evaluate emerging AI/GenAI technologies and recommend innovative use cases for mainframe environments.

Required Skills:-

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

• 10+ years of hands-on experience in IBM Mainframe development.

• Strong experience with COBOL, JCL, CICS, DB2, VSAM, IMS, and TSO/ISPF.

• Experience with software development lifecycle (SDLC) and Agile methodologies.

• Knowledge of REST APIs, microservices, and system integration concepts.

• Understanding of AI/ML fundamentals and Generative AI technologies.

• Experience working with Large Language Models (LLMs) and AI-assisted development tools.

• Strong analytical, problem-solving, and communication skills.

Preferred Skills:-

• Experience with IBM Watsonx, OpenAI, Azure OpenAI, or similar AI platforms.

• Exposure to mainframe modernization programs and cloud migration initiatives.

• Experience with Python, Java, or other modern programming languages.

• Familiarity with DevOps, CI/CD pipelines, Git, Jenkins, and automation tools.

• Knowledge of prompt engineering, retrieval-augmented generation (RAG), and AI governance.

• Experience integrating AI solutions with enterprise applications and legacy systems.