Modernization Architect

Overview

Lead client discovery and modernization efforts, designing cloud-native and AI-native architectures and building agentic proofs of concept, pilots, and MVPs that demonstrate measurable business value, in Kyndryl's Global Modernization Center of Excellence.

What you'll do

• Lead client discovery and AI readiness assessments to uncover high-value application modernization and agentic AI use cases.
• Turn ambiguous business needs into clear technical architectures and implementation roadmaps.
• Facilitate workshops, design sessions, and architecture reviews that align business and technical stakeholders.
• Advise senior client leaders on modernization and agentic AI adoption, with solution narratives that resonate with both executive and technical audiences.
• Design target-state cloud-native and AI-native architectures, using microservices, APIs, containers, and cloud-native patterns, to modernize legacy and monolithic applications.
• Define modernization solutions that combine application, infrastructure, agentic SDLC, and platform engineering expertise across public and private cloud.
• Build agentic proofs of concept, pilots, MVPs, and reference implementations that demonstrate measurable business value.
• Own technical solution definition, including scope, PoC framing, assumptions, dependencies, and baselines.
• Prepare estimates for effort, cost, risk, timeline, and team composition using Kyndryl's solution calculator and related tools.
• Develop SOWs, RFP responses, and technical proposal content, and contribute to commercial inputs.
• Lead technical due diligence and confirm that proposed solutions are feasible and deliverable.
• Partner with sales, consulting, legal, delivery, engineering, and COE teams to structure sound, deliverable engagements.
• Provide technical leadership from pursuit through implementation to protect solution fidelity and client success.
• Engage Cloud, Mainframe, Network & Edge, and other specialists when a solution spans multiple domains.
• Stay ahead of advances in AI, application, and cloud technologies through continuous learning and certification.

What you'll need

• Bachelor's degree in computer science, engineering, or a 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.
• Deep expertise in at least one of the five specialization areas above.
• At least two years of hands-on experience delivering production-grade agentic AI applications.
• Advanced expertise with leading open-source agentic frameworks such as LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent.
• Deep Python proficiency.
• Experience integrating AI agents with enterprise systems, including CRMs, ERPs, APIs, and data lakes.
• Experience with vector databases, embedding pipelines, and practical RAG architectures.
• Strong client-facing advisory, pre-sales, live-demo, and technical storytelling skills for engineering and executive audiences.
• Working knowledge of responsible AI, data privacy requirements, and enterprise security standards, applied across pursuit and delivery.

Nice to have

• TypeScript/Node.js experience.
• Background in engineering consulting or professional services.
• Experience contributing to large-scale modernization or transformation programs.
• Experience in both consultative solutioning and delivery settings.
• Industry experience in Financial Services, Healthcare, Telecommunications, Manufacturing, or the Public Sector.
• Familiarity with enterprise AI governance and AI risk-management frameworks.

Details

• Location: Bangalore (INMANBP), Manyatha, India.