AI Architect: Scalable, Secure Agentic AI on Cloud

Aubay Spain; Barcelona; Híbrido; EUR 70.000 - 100.000; Jornada completa

Descripción de la vacante

Kyndryl is seeking an AI Architect to design, refine, and implement architectures behind next-generation AI and Agentic AI solutions. You will work at the intersection of innovation and engineering, translating business objectives into scalable, secure, and maintainable systems.

Collaborate with data scientists, ML engineers, cloud specialists, and security teams to ensure trustworthy, governable AI. You will contribute to reference architectures, governance, and best practices, bridging

Formación

• 3–6 years designing AI/ML solutions or analytics architectures.
• Experience integrating AI models into production (APIs, microservices, data pipelines).
• Understanding AI/ML architectures and model lifecycle.
• Cloud AI services experience (Azure, AWS, GCP).
• Hands-on MLOps and container orchestration (Kubeflow, MLflow, Kubernetes).

Responsabilidades

• Design end-to-end AI and Agentic AI architectures aligned with business goals.
• Transform requirements into modular, scalable system designs.
• Define patterns for AI agents, data platforms, APIs, and cloud infra.
• Collaborate across teams to ensure scalability, performance, security.
• Contribute reference architectures and reusable components.
• Act as trusted technical partner through lifecycle and implementation.

Conocimientos

AI/ML architectures

Production APIs

Cloud platforms

MLOps tools

Kubernetes Docker

LangChain familiarity

Educación

Bachelor's/Master's in CS/AI

Herramientas

Kubeflow

MLflow

Airflow

Kubernetes

Docker

Azure

AWS

GCP

Descripción del empleo

Kyndryl is seeking an AI Architect to design, refine, and implement architectures behind next-generation AI and Agentic AI solutions. You will work at the intersection of innovation and engineering, translating business objectives into scalable, secure, and maintainable systems.

Collaborate with data scientists, ML engineers, cloud specialists, and security teams to ensure trustworthy, governable AI. You will contribute to reference architectures, governance, and best practices, bridging