Python Architect

At Kyndryl, we run and reimagine the mission‐critical technology systems that drive advantage for the world's leading businesses. with proven expertise and a continuous flow of AI‐powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. 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, Crew AI, 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 Who You Are Required Qualifications 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: Lang Graph, Auto Gen, Crew AI, 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 complexity for executive audiences without losing precision Preferred Qualifications Experience with AI‐assisted code transformation tools (e.
COBOL, PL/SQL, VB6,. NET Framework, Web Sphere, 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 Being You The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities.

We offer
a dynamic, hybrid‐friendly culture that supports your well‐being and empowers you to grow.