Role Overview

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 .

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
  

Required Qualifications

• Full professional proficiency in Spanish and English. Additional languages will be considered an asset.

• 8 -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