Who We AreAt Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.The RoleThe AI Systems Architect is responsible for designing and evolving an enterprise-scale Agentic AI platform that enables engineering teams to build, deploy, and operate production-ready AI agents in a secure, governed, and reusable manner.Key ResponsibilitiesArchitect a reusable enterprise Agentic AI platform, including agent runtime, orchestration, context management, memory, evaluation, guardrails, and observability.Develop and maintain an Agent Harness that provides standardized runtime capabilities and Model Context Protocol (MCP) integration.Define "Golden Paths" that standardize AI agent development and deployment across engineering teams.Build a model-agnostic AI runtime supporting multiple LLM providers, AI gateways, and enterprise integrations.Collaborate with infrastructure teams on Kubernetes, GPU platforms, networking, and cloud-native AI infrastructure.Establish enterprise AI governance covering policy enforcement, security, prompt/model lifecycle management, human-in-the-loop workflows, evaluation, and cost optimization.Integrate AI agents with enterprise platforms such as CI/CD, ITSM, observability, cloud services, and business applications.Define engineering standards and mentor teams to drive enterprise adoption of Agentic AI best practices.Overall FocusThis is a senior platform architecture role rather than an application development role. The emphasis is on building the foundational enterprise AI platform-including agent