Agentic AI Engineer – Mainframe Modernization
Kyndryl (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 22–40 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Deploy and scale Agentic AI, KAF workflows, code-aware agents and RAG pipelines for legacy application discovery and reverse engineering across mainframe systems.
- Produce business-rule extractions, dependency maps and architecture artifacts to support code refactoring, testing and cloud migration; integrate automation into enterprise tools and CI/CD pipelines.
- Own AI quality and governance controls, including evaluation frameworks, guardrails and Human-in-the-Loop validation; develop reusable accelerators and mentor modernization teams.
Minimum Requirements
- Work Experience Required: 5–8+ years in software engineering, including 2+ years building and deploying GenAI, LLM or Agentic AI solutions in enterprise production environments.
- Strong hands-on expertise in Agentic AI frameworks and orchestration, multi-agent systems, prompt/context engineering, RAG, vector databases and related knowledge-retrieval systems; proficiency in Python.
- Hands-on mainframe modernization experience, including discovery, reverse engineering, code understanding and dependency analysis across COBOL, PL/I, JCL, CICS, IMS or DB2.
- Experience integrating AI solutions with enterprise tools, repositories and CI/CD; knowledge of Git/GitHub, SDLC, DevSecOps, software quality, AI validation, guardrails and security compliance.
Ideal Candidate Profile
- Combines enterprise AI engineering with practical mainframe modernization experience, and can turn legacy-code analysis into implementation-ready engineering outputs.
- Has operated AI workflows in production and can connect agents and knowledge systems to developer tools, repositories and delivery pipelines.
- Best suited to cross-functional modernization work with mainframe SMEs, architects and cloud teams; direct KAF experience and reusable modernization accelerators are preferred.