Key skills
AWSAzureCloudDockerGoogle Cloud PlatformJavaJavaScriptKafkaKubernetesMicroservicesNode.jsPythonRabbitMQSQLTypeScript.NETCOBOLAILLMAgenticAutoGenLangGraphGCPGoogle CloudService BusRESTful
About this role
Role Overview
- Assess legacy codebases, monolithic architectures, and on-premises infrastructure to define targeted modernization strategies
- 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
- 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.)
- 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
- 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
- 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
Requirements
- Full professional proficiency in Spanish and English
- 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)
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- Google Cloud Platform
- Java
- JavaScript
- Kafka
- Kubernetes
- Microservices
- Node.js
- Python
- RabbitMQ
- SQL
- TypeScript
Benefits
- Flexible, supportive environment
- Employee feedback focused on belonging
- Be Well programs to support financial, mental, physical, and social health
- Access to cutting-edge learning opportunities