Modernization Application Architect

About the role

Kyndryl is hiring a Modernization Application Architect for its Global Modernization Center of Excellence. The role is client-facing and hands-on: you turn ambiguous modernization needs into clear architectures and roadmaps, build working demos, pilots or MVPs, and guide delivery teams and advise senior executives until the outcomes are delivered. Travel is required at least 25% of the time.

Key responsibilities

• Lead client discovery and AI readiness assessments, then turn business needs into technical architectures and roadmaps.
• Facilitate workshops, design sessions and architecture reviews, and advise senior client leaders on modernization and agentic AI.
• Design cloud-native, AI-native architectures using microservices, APIs, containers and cloud-native patterns, and define solutions combining application, infrastructure, agentic SDLC and platform engineering.
• Build agentic proofs of concept, pilots, MVPs and reference implementations.
• Own solution definition, estimates, SOWs, RFP responses and proposals, and lead technical due diligence.
• Partner with sales, consulting, legal, delivery and engineering teams, and bring in cloud, mainframe, network and edge specialists when needed.

Required profile

• Bachelor's degree in computer science, engineering or a comparable discipline, or equivalent practical experience.
• At least eight 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 specialization: public cloud apps (AWS, GCP, Azure), edge and software-defined networks, mainframe modernization, cloud platform engineering or private cloud.
• At least two years of hands-on experience delivering production-grade agentic AI applications.
• Strong client-facing advisory, pre-sales, live-demo and technical storytelling skills.

Required skills

• Advanced expertise in open-source agentic frameworks such as LangChain/LangGraph, AutoGen, CrewAI or Semantic Kernel.
• Deep Python; TypeScript/Node.js is a plus.
• Experience integrating AI agents with enterprise systems (CRMs, ERPs, APIs, data lakes).
• Experience with vector databases, embedding pipelines and RAG architectures.
• Specialization certifications are valued (e.g., AWS/Azure/GCP architect, CKa, AZ-400, IBM Z).

Nice to have: engineering consulting background, large-scale transformation program experience, industry experience in financial services, healthcare, telecom, manufacturing or the public sector, and familiarity with enterprise AI governance and risk frameworks. Kyndryl offers career development, certifications and a hybrid-friendly culture.