Modernization Architect
Kyndryl (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead client discovery and AI readiness assessments to define clear modernization architectures and roadmaps for legacy applications using agentic AI.
- Architect and build cloud-native, AI-native architectures, and deliver proofs of concept, pilots, or MVPs demonstrating measurable business value in modernization projects.
- Provide technical leadership throughout project lifecycle, advising senior client leaders and guiding delivery teams to ensure business outcomes are met.
Minimum Requirements
- Bachelor's degree in computer science, engineering, or comparable discipline (or equivalent practical experience).
- At least 8+ years of hands-on experience in solution architecture, software engineering, or technical consulting focused on application architecture and modernization.
- Minimum 2 years hands-on experience delivering production-grade agentic AI applications with advanced expertise in open-source agentic AI frameworks such as LangChain, AutoGen, or equivalent.
- Deep proficiency in Python; experience with integrating AI agents with enterprise systems (CRMs, ERPs, APIs, data lakes), vector databases, RAG architectures, and client-facing advisory skills.
Ideal Candidate Profile
- Experienced in consultative solutioning and delivery of large-scale modernization and agentic AI projects within complex enterprise environments.
- Strong capability to translate ambiguous business needs into clear technical solutions and roadmaps, engaging both engineering teams and executive stakeholders.
- Background preferably includes engineering consulting or professional services and familiarity with AI governance, data privacy, and enterprise security standards.