Senior MLOps Platform Architect — Azure & Kubeflow

Pepsico Inc.; Barcelona; On-site; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Flexible working arrangements

Career development and learning

Job summary

Kyndryl is seeking an AI Systems Architect in Spain to design and evolve an enterprise-scale Agentic AI platform that enables engineering teams to build, deploy, and operate production-ready AI agents securely and governably.

The role emphasizes building foundational services, agent runtimes, and governance to support multiple teams across the organization, with senior-level responsibilities and cross-functional collaboration.

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

Python

AI systems design

English proficiency

Spanish proficiency

Developer platforms

Governance

Tools

Kubernetes

Containers

Infrastructure as Code

LangGraph

CrewAI

Semantic Kernel

AutoGen

Prometheus

Grafana

OpenTelemetry

Langfuse

NVIDIA NIM

vLLM

Triton Inference Server

Job description

Kyndryl is seeking an AI Systems Architect in Spain to design and evolve an enterprise-scale Agentic AI platform that enables engineering teams to build, deploy, and operate production-ready AI agents securely and governably.

The role emphasizes building foundational services, agent runtimes, and governance to support multiple teams across the organization, with senior-level responsibilities and cross-functional collaboration.