Job Title: Mainframe Developer AI/GenAI Exp
Location: Berkeley Heights, NJ-Onsite
Job Type: Long term Contract
Roles and Responsibilities
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Design, develop, maintain, and support IBM Mainframe applications using COBOL, JCL, CICS, DB2, VSAM, and related technologies.
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Analyze existing mainframe applications and identify modernization opportunities using AI/GenAI solutions.
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Develop AI-powered tools and automation solutions for code analysis, documentation generation, testing, and application modernization.
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Integrate mainframe systems with cloud platforms, APIs, and AI/ML services.
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Collaborate with business stakeholders, architects, and development teams to define technical solutions and modernization strategies.
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Perform impact analysis, code reviews, debugging, and performance tuning of mainframe applications.
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Develop and maintain technical documentation, process flows, and system specifications.
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Support application migration, refactoring, and transformation initiatives.
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Implement security, compliance, and governance standards across mainframe and AI solutions.
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Participate in Agile development processes, sprint planning, and technical design discussions.
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Evaluate emerging AI/GenAI technologies and recommend innovative use cases for mainframe environments.
Required Skills:-
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Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
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10+ years of hands-on experience in IBM Mainframe development.
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Strong experience with COBOL, JCL, CICS, DB2, VSAM, IMS, and TSO/ISPF.
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Experience with software development lifecycle (SDLC) and Agile methodologies.
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Knowledge of REST APIs, microservices, and system integration concepts.
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Understanding of AI/ML fundamentals and Generative AI technologies.
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Experience working with Large Language Models (LLMs) and AI-assisted development tools.
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Strong analytical, problem-solving, and communication skills.
Preferred Skills:-
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Experience with IBM Watsonx, OpenAI, Azure OpenAI, or similar AI platforms.
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Exposure to mainframe modernization programs and cloud migration initiatives.
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Experience with Python, Java, or other modern programming languages.
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Familiarity with DevOps, CI/CD pipelines, Git, Jenkins, and automation tools.
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Knowledge of prompt engineering, retrieval-augmented generation (RAG), and AI governance.
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Experience integrating AI solutions with enterprise applications and legacy systems.