3 days ago
Pune, India or Bengaluru, IndiaSenior
Responsibilities
- Deploy, configure, scale, and optimize Kyndryl Agentic Framework, 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, cloud migration, and implementation-ready engineering outcomes.
- Integrate AI automation with enterprise tools, repositories, development pipelines, workflow automation, REST APIs, SDKs, and third-party tools.
- Develop and refine prompt, context, and agent-orchestration frameworks, reusable AI accelerators, and multi-agent modernization solutions.
- Establish AI evaluation frameworks, validation mechanisms, guardrails, Human-in-the-Loop workflows, and enterprise security compliance practices.
- Automate analysis, mapping, testing, documentation generation, code transformation, and repetitive modernization tasks.
- Monitor and improve AI solution performance, accuracy, reliability, and scalability.
- Collaborate with mainframe SMEs, architects, cloud engineers, and transformation leads while mentoring teams on AI-assisted delivery.
Requirements
- 5-8+ years of software engineering experience, including 2+ years building and deploying GenAI, LLM, and agentic AI solutions in enterprise production environments.
- Strong expertise in agentic AI engineering, agentic AI frameworks, multi-agent systems, prompt engineering, context engineering, and AI workflow orchestration.
- Strong Python proficiency for workflow automation, REST API development, SDK integrations, and third-party tool integrations.
- Hands-on experience with Git, GitHub, CI/CD pipelines, SDLC processes, DevSecOps, and secure development practices.
- Experience designing AI knowledge systems using RAG, vector databases, semantic search, embedding models, knowledge graphs, and context retrieval systems.
- Mainframe modernization experience covering legacy application discovery, reverse engineering, code understanding, dependency analysis, modernization patterns, and legacy-to-cloud transformation.
- Strong software quality experience in source code analysis, test automation, quality engineering, code transformation, and developer productivity tools.
- Experience with COBOL, PL/I, JCL, CICS, IMS, and DB2 modernization activities.
- Experience with AI quality, evaluation frameworks, LLM guardrails, governance, generated-code validation, and Human-in-the-Loop workflows.
- Preferred qualifications include direct Kyndryl Agentic Framework experience, reusable AI asset development, automated code transformation and test generation, enterprise AI platform engineering, multi-agent orchestration, legacy code context modeling, and work in regulated or security-sensitive environments.
- Ability to collaborate across technical teams, mentor others, and convert recurring modernization challenges into reusable AI solutions.
Benefits
- Hybrid-friendly work culture supporting employee well-being.
- Professional development through certifications, coaching, personalized development goals, continuous feedback, and hands-on learning.
- Access to certification opportunities with Microsoft, Google, and Amazon and opportunities to work with major technology platforms.
- Be Well programs supporting financial, mental, physical, and social health.
- Opportunities to work on meaningful mission-critical modernization projects and develop in-demand skills.
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.