[Hiring] Public Cloud Solutions Architect @Kyndryl

Role Description

As a Modernization Architect at Kyndryl, you’ll be the person who turns the chance to reinvent business-critical applications with agentic AI into reality. You’ll step into a client’s toughest modernization challenge, turn ambiguity into a clear architecture and roadmap, and build the working demo, pilot, or MVP that proves the value.

• 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.
• Design target-state cloud-native and AI-native architectures.
• Define modernization solutions that combine application, infrastructure, agentic SDLC, and platform engineering expertise.
• Build agentic proofs of concept, pilots, MVPs, and reference implementations.
• Prepare estimates for effort, cost, risk, timeline, and team composition.
• Develop SOWs, RFP responses, and technical proposal content.
• Partner with sales, consulting, legal, delivery, engineering, and COE teams.
• Stay ahead of advances in AI, application, and cloud technologies through continuous learning and certification.

Qualifications

• 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 of the five specialization areas.
• At least two years of hands-on experience delivering production-grade agentic AI applications.
• Advanced expertise with leading open-source agentic frameworks.
• Deep Python proficiency; TypeScript/Node.js experience is a plus.
• Experience integrating AI agents with enterprise systems.
• Strong client-facing advisory, pre-sales, live-demo, and technical storytelling skills.
• Working knowledge of responsible AI, data privacy requirements, and enterprise security standards.

Requirements

• Design and implement cloud-native and AI-native applications on AWS, GCP, or Azure.
• Design agentic AI-enabled network modernization.
• Design modernization approaches for IBM Z and z/OS workloads.
• Design internal developer platforms and standardized golden paths.
• Design application and workload modernization for private-cloud and data-center environments.

Benefits

• Comprehensive benefits package including medical and dental coverage.
• Disability and retirement benefits.
• Paid leave and paid time off.
• Annual discretionary bonus program based on performance.