3 days ago
Pune, India or Bengaluru, IndiaSenior / Staff+
Responsibilities
- Deploy, configure, optimize, and scale KAF, agentic AI workflows, RAG pipelines, and code-aware agents for mainframe discovery and reverse engineering.
- Extract business rules, dependency maps, application documentation, and architecture artifacts to support refactoring and cloud migration.
- Integrate AI automation with enterprise tools, code repositories, and CI/CD development pipelines.
- Create evaluation frameworks, guardrails, validation mechanisms, and Human-in-the-Loop workflows for accurate and secure AI outputs.
- Automate code transformation, testing, mapping, analysis, and documentation-generation activities.
- Develop reusable AI accelerators, refine prompt and orchestration frameworks, and mentor modernization teams on AI-assisted delivery.
- Monitor and improve the performance, accuracy, reliability, and scalability of enterprise AI solutions.
Requirements
- 5–8+ years of software engineering experience, including 2+ years building and deploying GenAI, LLM, and agentic AI solutions in enterprise production environments.
- Hands-on 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, and DB2, including application discovery, inventory analysis, 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, and secure development practices.
- Experience designing AI knowledge systems using vector databases, semantic search, embedding models, knowledge graphs, and context retrieval systems.
- Background in source code analysis, test automation, quality engineering, code transformation, and developer productivity tools.
- Experience integrating enterprise AI solutions with tools, repositories, and development pipelines.
- 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, multi-agent orchestration platforms, enterprise AI platform engineering, and legacy code context modeling.
- Ability to collaborate with mainframe SMEs, architects, cloud engineers, and transformation leads, and to mentor teams.
Benefits
- Hybrid-friendly work culture.
- Be Well programs supporting financial, mental, physical, and social health.
- Learning opportunities, certifications across Microsoft, Google, and Amazon platforms, coaching, and hands-on experiences.
- Personalized career development goals, career-path tools, and continuous feedback.
- 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.