Ai Architect (Agentic Ai)

Experteer Overview As a Senior AI Architect at Kyndryl, you will lead end-to-end Generative and Agentic AI architectures that scale across enterprise delivery teams.You’ll set architectural strategy, ensure quality and security, and guide cross-functional teams toward real business value.The role sits at the intersection of business, technology, and innovation, driving responsible AI adoption and transformation.This is a chance to shape enterprise-scale AI programs and collaborate across multiple accounts in a culture that values curiosity and impact.Compensaciones / Beneficios- Design and evolve end-to-end AI and Agentic AI architectures for enterprise-scale innovation- Translate objectives into coherent, high-impact architectural strategies- Act as technical authority ensuring quality, scalability, and security in solutions- Lead multidisciplinary teams toward architectural excellence and business value- Align initiatives with business strategy and operational goals- Foster a rigorous, creative, and responsible AI culture and test/adopt emerging technologies- Serve as technical reference and decision-maker, guiding architectural choices across stakeholdersResponsabilidades- 7+ years designing/delivering large-scale AI/ML architectures in enterprise environments- Proven experience deploying production AI systems and governance- Deep knowledge of AI/ML architectures, cloud-native solutions, and distributed systems- Familiarity with multi-agent frameworks and RAG architectures (LangGraph, CrewAI, AutoGen, Google ADK; LangChain, LlamaIndex)- Experience with at least one major cloud provider (Azure, AWS, GCP) and AI platforms (Azure ML, Vertex AI, OpenShift AI, Databricks)- Solid understanding of MLOps frameworks (MLflow, Kubeflow, Airflow)- Demonstrated leadership to drive architectural direction across cross-functional teamsRequisitos principales- hybrid-friendly culture- Be Well programs supporting well-being- access to cutting-edge learning opportunities- certifications with Microsoft, Google, and Amazon- coaching and hands-on experiences- continuous feedback and development path

7+ years designing/delivering large-scale AI/ML architectures in enterprise environments

• Proven experience deploying production AI systems and governance
• Deep knowledge of AI/ML architectures, cloud-native solutions, and distributed systems
• Familiarity with multi-agent frameworks and RAG architectures (LangGraph, CrewAI, AutoGen, Google ADK; LangChain, LlamaIndex)
• Experience with at least one major cloud provider (Azure, AWS, GCP) and AI platforms (Azure ML, Vertex AI, OpenShift AI, Databricks)
• Solid understanding of MLOps frameworks (MLflow, Kubeflow, Airflow)
• Demonstrated leadership to drive architectural direction across cross-functional teamsRequisitos principales
• hybrid-friendly culture
• Be Well programs supporting well-being
• access to cutting-edge learning opportunities
• certifications with Microsoft, Google, and Amazon
• coaching and hands-on experiences
• continuous feedback and development path