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Paid Internship
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Time Spent
Required Degree
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24Open Positions

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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.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English
  • French

Nice to Haves

  • Experience with cloud AI platforms (AWS, Azure, GCP)
  • AI governance best practices
▶Apply Now

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