Senior Enterprise AI Platform Architect

Kynegos; Pozuelo de Alarcón; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Kyndryl is seeking an AI Systems Architect to design and evolve an enterprise-scale Agentic AI platform that enables teams to build, deploy, and operate production-ready AI agents securely and reusable across the organization.

You will define standards, governance, and runtime capabilities, collaborating with infrastructure on Kubernetes, AI gateways, and cloud-native infrastructure. Strong Python, Kubernetes, and bilingual English/Spanish skills are essential.

Qualifications

• 5+ years designing cloud-native platforms or enterprise software architectures.
• Strong hands-on experience with Agentic AI architectures, orchestration, tool integration, memory, evaluation, and guardrails.
• Experience with agent frameworks such as LangGraph, CrewAI, Semantic Kernel, or AutoGen.
• Strong Python software engineering skills.
• Expertise in Kubernetes, containers, Infrastructure as Code, and cloud-native architectures.
• Understanding of AI infrastructure, including GPUs, model serving, AI gateways, and observability.
• Experience designing developer platforms and reusable services rather than standalone applications.
• Professional proficiency in both English and Spanish.

Responsibilities

• Architect 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.

Skills

Cloud-native platforms

Agentic AI architectures

LangGraph

CrewAI

Python

Kubernetes

IaC

AI governance

English and Spanish

Tools

CI/CD platforms

Langfuse

NVIDIA NIM

vLLM

Triton Inference Server

Job description

Kyndryl is seeking an AI Systems Architect to design and evolve an enterprise-scale Agentic AI platform that enables teams to build, deploy, and operate production-ready AI agents securely and reusable across the organization.

You will define standards, governance, and runtime capabilities, collaborating with infrastructure on Kubernetes, AI gateways, and cloud-native infrastructure. Strong Python, Kubernetes, and bilingual English/Spanish skills are essential.