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Senior Modernization Architect

Job in High Point, Guilford County, North Carolina, 27264, USA
Listing for: 1000 Kyndryl, Inc.
Full Time position
Listed on 2026-05-31
Job specializations:
  • Software Development
    AI Engineer, Software Architect
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Modernization Architect

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. You will be equally comfortable whiteboarding a migration strategy with an enterprise CTO and writing the orchestration code that brings that strategy to life.

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 Lang Graph, Auto Gen, 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
Required 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:
    Lang Graph, Auto Gen, CrewAI, Semantic Kernel, or equivalent
  • Strong programming skills in Java and Python; experience with Type Script/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, Rabbit

    MQ, Azure Service Bus, or similar)
  • Excellent communication skills — able to translate technical…
Position Requirements
10+ Years work experience
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