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 legacy application discovery 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, repositories, and CI/CD development pipelines.
- Establish AI evaluation frameworks, guardrails, quality controls, and Human-in-the-Loop validation workflows.
- Build reusable AI accelerators, refine prompt and orchestration frameworks, and mentor modernization teams on AI-assisted delivery.
- Monitor and improve the performance, accuracy, reliability, security, and scalability of enterprise AI solutions.
Requirements
- 5-8+ years of software engineering experience, including 2+ years of hands-on experience 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.
- Expertise in code-aware AI agents, RAG pipelines, vector-based knowledge systems, prompt engineering, context engineering, AI workflow orchestration, and multi-agent systems.
- Strong Python proficiency for workflow automation, REST APIs, SDK integrations, and third-party tool integrations.
- Hands-on mainframe modernization experience across COBOL, PL/I, JCL, CICS, IMS, and DB2, including discovery, inventory analysis, reverse engineering, dependency analysis, and legacy-to-cloud transformation.
- 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 with AI quality, validation, governance, LLM guardrails, generated-code validation, and Human-in-the-Loop workflows.
- Preferred experience with KAF, reusable AI modernization assets, code-aware agent development, automated code transformation, automated test generation, AI platform engineering, and multi-agent orchestration platforms.
- 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 programs supporting financial, mental, physical, and social well-being.
- Learning, certification, coaching, personalized development goals, continuous feedback, and hands-on career growth opportunities.
- Access to certifications and learning opportunities involving Microsoft, Google, and Amazon platforms.
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.