3 days ago
Pune, India or Bengaluru, IndiaSenior
Responsibilities
- Deploy, configure, optimize, and scale KAF, agentic AI workflows, RAG pipelines, and code-aware agents for legacy application discovery and reverse engineering.
- Extract business rules, dependency maps, and architecture artifacts to support code refactoring and cloud migration.
- Integrate AI automation with enterprise tools, code repositories, and development pipelines.
- Create evaluation frameworks, guardrails, and Human-in-the-Loop validation workflows for AI-generated outputs.
- Automate analysis, mapping, testing, documentation, code transformation, and migration tasks.
- Develop reusable AI accelerators, refine prompt and orchestration frameworks, monitor solution performance and accuracy, and mentor modernization teams.
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, multi-agent systems, and AI workflow orchestration.
- Strong Python proficiency for workflow automation, API development, SDK integrations, and third-party tool integrations.
- Hands-on mainframe modernization experience with COBOL, PL/I, JCL, CICS, IMS, DB2, legacy application discovery, reverse engineering, dependency analysis, and legacy-to-cloud transformation.
- Experience integrating AI solutions with enterprise tools, repositories, development pipelines, and platform integrations.
- Experience with Git, GitHub, secure development practices, software quality, 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 defining AI evaluation frameworks, validation mechanisms, LLM guardrails, governance processes, generated-code validation, and Human-in-the-Loop workflows.
- Preferred qualifications include direct KAF experience, reusable AI asset development, automated code transformation and test generation, regulated or security-sensitive enterprise experience, and mentoring or collaboration with mainframe, architecture, cloud, and transformation teams.
Benefits
- Hybrid-friendly work culture.
- Opportunities for hands-on experience, learning, certifications, coaching, and personalized career development.
- Access to certifications involving Microsoft, Google, and Amazon platforms.
- Be Well programs supporting financial, mental, physical, and social health.
- Continuous feedback, career-path tools, and development goals aligned with professional ambitions.
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.