3 days ago
Pune, India or Bengaluru, IndiaSenior / Staff+
Responsibilities
- Deploy, configure, scale, and optimize KAF, agentic AI workflows, RAG pipelines, and code-aware agents for legacy discovery, inventory analysis, and reverse engineering.
- Extract business rules, dependency maps, documentation, and architecture artifacts to support code refactoring and cloud migration.
- Integrate AI automation with enterprise tools, code repositories, and CI/CD development pipelines.
- Define evaluation frameworks, guardrails, validation mechanisms, and Human-in-the-Loop workflows for accurate and secure AI outputs.
- Develop reusable AI accelerators, refine prompt and orchestration frameworks, and mentor modernization teams on AI-assisted delivery.
- Support code transformation, automated testing, documentation generation, performance monitoring, reliability, and scalability improvements.
Requirements
- 5-8+ years of software engineering experience, including 2+ years building and deploying GenAI, LLM, and agentic AI solutions in enterprise production environments.
- Experience deploying, configuring, integrating, and optimizing enterprise agentic AI capabilities, orchestration pipelines, custom workflows, and prompt libraries.
- Strong expertise in code-aware AI agents, RAG pipelines, vector-based knowledge systems, prompt engineering, context engineering, and AI workflow orchestration.
- Hands-on mainframe modernization experience across COBOL, PL/I, JCL, CICS, IMS, DB2, legacy discovery, reverse engineering, dependency analysis, and legacy-to-cloud transformation.
- Strong Python proficiency for workflow automation, REST APIs, SDK integrations, and third-party tool integrations.
- Experience with Git/GitHub, CI/CD pipelines, SDLC processes, DevSecOps, secure development, source code analysis, test automation, and quality engineering.
- Experience designing AI knowledge systems using vector databases, semantic search, embedding models, knowledge graphs, and context retrieval systems.
- Experience integrating AI solutions with enterprise tools, repositories, development pipelines, and code transformation or developer productivity tools.
- Experience defining AI evaluation frameworks, LLM guardrails, governance processes, generated-code validation, and Human-in-the-Loop workflows.
- Preferred qualifications include KAF experience, reusable AI asset development, automated code transformation and test generation, enterprise AI platform engineering, multi-agent orchestration, and legacy code context modeling.
- Ability to collaborate with mainframe SMEs, architects, cloud engineers, and transformation leads and mentor teams on AI-assisted delivery.
Benefits
- Hybrid-friendly work culture with Be Well programs supporting financial, mental, physical, and social health.
- Learning opportunities, coaching, hands-on experience, and access to certifications with Microsoft, Google, and Amazon.
- Personalized development goals, career-path tools, continuous feedback, and opportunities to specialize across major platforms.
- Inclusive culture focused on belonging, empathy, professional growth, and shared success.
Categories
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.