At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
Client Discovery & Modernization Advisory
- Lead client discovery sessions, modernization assessments, and technical due diligence activities.
- Facilitate workshops, design sessions, and architecture reviews with cross-functional stakeholders.
- Assess application portfolios and legacy technology estates to identify business capabilities, dependencies, modernization opportunities, risks, and migration complexity.
- Act as a trusted advisor to senior client stakeholders, helping shape modernization strategies and roadmaps, guiding AI adoption decisions
Architecture & Delivery
- Analyze application architectures and technologies, batch processing, and integration patterns.
- Define target-state architectures, modernization strategies, and implementation roadmaps.
- Create architecture deliverables including assessment reports, dependency maps, migration plans, testing strategies, and implementation roadmaps.
- Provide technical leadership through architecture governance, design reviews, implementation oversight, and solution assurance.
- Guide delivery teams on modernization tooling, testing approaches, DevSecOps enablement, migration planning, and cutover readiness.
AI, Solutioning & Pre-Sales
- Leverage AI-assisted analysis capabilities and Kyndryl modernization accelerators to improve application discovery, dependency analysis, code understanding, testing, documentation, and migration planning.
- Identify opportunities to apply agentic AI and automation to accelerate modernization delivery and improve client outcomes.
- Define integration patterns for connecting AI agents to enterprise systems (CRMs, ERPs, APIs, data lakes)
- Support proposal development, Statements of Work (SOWs), RFP responses, solution estimation, and opportunity shaping.
- Develop architecture narratives and present modernization recommendations to business and technical stakeholders.