Agentic AI Engineer – Mainframe Modernization
Kyndryl (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Deploy and scale code-aware Agentic AI, RAG and automation workflows to discover, reverse-engineer and document mainframe applications.
- Produce business-rule, dependency and architecture artifacts that support refactoring and legacy-to-cloud migration; integrate AI workflows with repositories and CI/CD pipelines.
- Own AI output quality and enterprise readiness through evaluation, guardrails, security controls and human validation; build reusable accelerators and guide 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 AI engineering skills across agent frameworks, multi-agent systems, orchestration, prompt/context engineering, RAG, vector databases, semantic search and knowledge systems; strong Python skills for automation, APIs and integrations.
- Hands-on mainframe modernization experience, including application discovery, reverse engineering and dependency analysis across technologies such as COBOL, PL/I, JCL, CICS, IMS and DB2.
- Experience with Git/GitHub, CI/CD, SDLC and secure development, plus software quality, test automation, AI evaluation, validation, guardrails and HITL workflows.
Ideal Candidate Profile
- Combines enterprise AI platform engineering with practical mainframe analysis and code transformation experience; can turn AI-generated insights into implementation-ready modernization outputs.
- Has worked closely with mainframe SMEs, architects and cloud teams on migration or refactoring programs, and can embed AI capabilities into existing engineering workflows.
- Especially strong fit for candidates with KAF experience, reusable modernization accelerators, and validation of generated code or migration outputs in regulated or security-sensitive environments.