Agentic AI Intern - Real-World AI in France

University of Delaware

Paris

Hybrid

EUR 13,000 - 18,000

Full time

6 days ago
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Job summary

Microsoft invites an NTO Intern to explore agentic AI concepts and practical implementations using Microsoft technologies. You will identify high-value use cases, design proof-of-concept agents, and evaluate governance and security considerations with a focus on safe, responsible AI.

You’ll collaborate with global teams, publish findings, and contribute to demonstrations and workshops, while gaining hands-on experience with state-of-the-art AI tooling and architectures.

Qualifications

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, AI, Data Science, IT or related field.
  • Must be legally authorized to work in France and fluent in French and English.
  • Interest in agentic AI, governance, and responsible AI practices welcome.

Responsibilities

  • Develop knowledge of agentic AI concepts, architectures, and Microsoft technologies.
  • Identify high-value agentic use cases with clear objectives and success criteria.
  • Design proof-of-concept agents and multi-agent workflows using approved tools.
  • Test agent quality across accuracy, safety, latency, and cost benchmarks.
  • Apply governance controls: ownership, least privilege, data protection, oversight.
  • Analyze risk factors like prompt injection and data leakage and mitigate.
  • Produce reusable guidance and references for open-source projects and practices.
  • Present findings to technical and governance audiences via sessions or webinars.

Skills

French language
English language

Education

Bachelor’s or Master’s degree in CS/related field

Job description

Microsoft invites an NTO Intern to explore agentic AI concepts and practical implementations using Microsoft technologies. You will identify high-value use cases, design proof-of-concept agents, and evaluate governance and security considerations with a focus on safe, responsible AI.

You’ll collaborate with global teams, publish findings, and contribute to demonstrations and workshops, while gaining hands-on experience with state-of-the-art AI tooling and architectures.

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