How do I apply for the KERING AI Enterprise Architect (stage) position at Kering and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the KERING AI Enterprise Architect (stage) role?

This position is a full-time, structured as a on-site role.

What educational background or degree level is required for the KERING AI Enterprise Architect (stage) at Kering?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does Kering provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

KERING AI Enterprise Architect (stage)

Kering

Found 1 week ago

Location

Paris, France

Time

Full-time

Work Mode

On-site

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 week ago

Education

Master

Skills & Qualifications

Technical Skills

AI technologies
machine learning
natural language processing
computer vision
generative AI
agentic AI systems
enterprise architecture frameworks
TOGAF
ArchiMate
AI system architectures
AWS
Azure
GCP

Soft Skills

Analytical mindset
Organized
detail-oriented
collaborative
eager to learn

Job Description

We are currently seeking an Enterprise Architecture Intern to join our team, for a period of 6 months, starting in september 2026. Your Opportunity As a member of the Enterprise Architecture and Innovation team, you will contribute to defining and deploying AI strategies that span from basic data utilization to advanced real-time AI for decision automation. You will assist in the platformization of AI and data analytics capabilities to foster scalable and reusable AI services. This internship offers a unique chance to work alongside experienced architects and AI experts, gaining exposure to cutting-edge AI technologies and contributing to impactful digital transformation projects at a global luxury leader.

Requirements

Currently pursuing a Master’s degree in Artificial Intelligence, Data Science, Computer Science, or related fields.
Strong interest and foundational knowledge of AI technologies, including machine learning, natural language processing, computer vision, generative AI, and agentic AI systems.
Understanding of enterprise architecture frameworks (e.g., TOGAF, ArchiMate) and AI system architectures.
Analytical mindset with the ability to clearly synthesize complex technical topics.
Organized, detail-oriented, collaborative, and eager to learn.

AI & Machine Learning

Applied Machine Learning

Languages

English
French

Nice to Haves

Experience with cloud AI platforms (AWS, Azure, GCP)
AI governance best practices

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