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

AI Systems Architect

Location: Madrid, Spain; Barcelona, Spain

Employment type: Full time

Job Reference: R-65522

Company: Kyndryl

At 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 Role

The 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 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.

Overall Focus

This is a senior platform architecture role rather than an application development role. The emphasis is on building the foundational enterprise AI platform – including agent runtime, governance, orchestration, and developer experience – that enables multiple engineering teams to deliver scalable, secure, model‑agnostic AI agents across the organization.

Your Future at Kyndryl

As an IT/Cloud Consultant at Kyndryl you will join the Kyndryl Consultant Profession, working with other Kyndryl Consultants, Architects, Project Managers, and cross‑functional Technical Subject Matter Experts – presenting unlimited opportunities with unmatched support through our investment in your learning, training, and career growth.

Required Experience

• 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.

Preferred Skills

• Experience with LiteLLM, OpenRouter, NVIDIA NIM, vLLM, or Triton Inference Server.
• Knowledge of LLMOps, AI governance, and model lifecycle management.
• Experience with RAG, vector databases, and semantic search.
• Familiarity with observability tools such as Prometheus, Grafana, OpenTelemetry, or Langfuse.
• Experience with AI coding assistants (Claude Code, GitHub Copilot, Codex).
• Experience in regulated industries such as Financial Services, Telecommunications, or Public Sector.

Benefits

• Competitive salary and performance‑based bonus.
• Health insurance.
• Retirement plan.
• Paid time off and flexible working arrangements.
• Career development and learning opportunities.

Equal Opportunity Statement

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.