[Hiring] Senior Modernization Architect @Kyndryl

Role Description

We are seeking a hands-on Modernization Architect who combines deep expertise in agentic AI with a proven ability to transform legacy systems into intelligent, composable platforms. In this client-facing role, you will lead engagements from discovery through MVP — assessing existing architectures, designing modernization roadmaps, and building custom AI agents and automated workflows that unlock lasting business value.

Key Responsibilities

• Application Modernization Architecture
  • Assess legacy codebases, monolithic architectures, and on-premises infrastructure to define targeted modernization strategies (re-platform, re-factor, re-architect, replace).
  • Design cloud-native target architectures leveraging microservices, event-driven patterns, API-first design, and containerization (Docker/Kubernetes).
  • Lead technical discovery workshops to inventory systems, dependencies, data flows, and integration points.
  • Produce modernization roadmaps with phased milestones, risk registers, and TCO/ROI analysis.
  • Define migration patterns for databases, middleware, and mainframe workloads to modern cloud platforms.
• Agentic AI Design & Build
  • Design and build custom AI agents and multi-agent workflows tailored to client-specific business processes and modernization objectives.
  • Implement agentic orchestration using frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or using the Kyndryl Agentic Platform.
  • Create intelligent automation pipelines that replace or augment legacy batch jobs, manual handoffs, and rule-based workflows.
  • Build/Enhance AI-assisted code migration agents capable of analyzing, transforming, and validating legacy code (COBOL, VB6, PL/SQL, .Net, etc.).
• Client Discovery
  • Lead client-facing discovery sessions, architecture reviews, and modernization readiness assessments.
  • Translate legacy estate complexity into clear business risk narratives and modernization business cases.
  • Serve as a trusted technical advisor to senior stakeholders, guiding both strategy and sequencing.
  • Facilitate workshops to align business owners, engineers, and operations teams around target state architectures.
  • Produce actionable deliverables: strategy decks, architecture blueprints, migration playbooks, and agent workflow specifications.
• MVP & Presentations
  • Design and deliver live demonstrations of agentic modernization capabilities, including code transformation, intelligent workflow automation, and AI-assisted operations.
  • Build reusable demo environments and MVPs that showcase modernization outcomes at different stages of a client journey.
  • Present modernization strategies and AI workflow designs to both technical teams and executive audiences.
• Agent & Workflow Development for Clients
  • Scope, design, and deliver production-ready AI agents based on client-supplied requirements and use cases.
  • Lead joint development sessions ("AI pairing") with client engineering teams to accelerate capability transfer.
  • Define agent contracts: input/output schemas, tool definitions, memory strategies, fallback behaviors, and escalation paths.
  • Establish quality gates: unit tests, integration tests, and evaluation harnesses for agent reliability and output quality.

Qualifications

• 10+ years of experience in software engineering, solution architecture, or technical consulting.
• 2+ years of hands-on experience designing and building agentic AI or LLM-powered systems in production environments.
• Demonstrated expertise in modernizing legacy architectures — mainframes, monoliths, or on-premises systems — to modern platforms, including cloud-native.
• Proficiency with at least one agentic orchestration framework: LangGraph, AutoGen, CrewAI, Semantic Kernel, or equivalent.
• Strong programming skills in Java and Python; experience with TypeScript/Node.js.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and container technologies (Docker, Kubernetes).
• Experience designing RESTful and event-driven integrations (Kafka, RabbitMQ, Azure Service Bus, or similar).
• Excellent communication skills — able to translate technical complexity for executive audiences without losing precision.

Preferred Qualifications

• Experience with AI-assisted code transformation tools (e.g., GitHub Copilot, Amazon Q Developer, custom migration agents).
• Background with legacy languages or platforms: COBOL, PL/SQL, VB6, .NET Framework, WebSphere, or IBM MQ.
• Familiarity with database migration strategies: schema conversion, CDC pipelines, and polyglot persistence.
• Certifications: AWS Solutions Architect Professional, Azure Solutions Architect Expert, Google PCA, or TOGAF.

Requirements

• The compensation range for this position in the US is $179,760 to $341,520 based on a full-time schedule.
• This position will be eligible for Kyndryl's discretionary annual bonus program, based on performance and subject to the terms of Kyndryl's applicable plans.
• You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off.

Benefits

• Comprehensive benefits package including medical and dental coverage.
• Disability and retirement benefits.
• Paid leave and paid time off.