National Technology Intern

Start date: January 2027

Placement length: 6 months

Type of Employment: Internship

Location: Paris, France

Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.  

As an NTO (National Technology Officer) Intern, you will help explore and develop innovative AI and agentic AI solutions using Microsoft technologies. You will work on real-world projects to design, test, and evaluate AI agents, support responsible AI practices, assess security and governance considerations, and help demonstrate how emerging technologies can create business value while remaining safe, compliant, and under appropriate human oversight.

At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities
 

• Develop practical knowledge of agentic AI concepts, architectures, and Microsoft technologies, including Microsoft Foundry Agent Service, Microsoft Agent Framework, Copilot Studio, Azure services, MCP, A2A communication, and relevant open-source tools.
• Identify and define high-value agentic use cases, including the business objective, users, required knowledge and tools, autonomy boundaries, success criteria, and circumstances requiring human review or approval.
• Design and implement proof-of-concept agents or multi-agent workflows that combine models, retrieval-augmented generation, memory, enterprise data, functions, APIs, and other approved tools.
• Test and evaluate agent quality, including task completion, groundedness, robustness, safety, latency, cost, traceability, and behavior under normal and adversarial conditions; document results in a reproducible benchmark.
• Apply responsible engineering and governance controls across the agent lifecycle: ownership, identity, least-privilege access, data protection, human oversight, monitoring, auditing, threat detection, incident response, versioning, and retirement.
• Analyze risks such as prompt injection, tool misuse, excessive agency, data leakage, hallucination, cascading failures, and unintended multi-agent interactions; implement and demonstrate appropriate mitigations.
• Explore and apply Microsoft-contributed open-source projects such as the Agent Governance Toolkit for runtime governance and policy enforcement, ASSERT for requirements-driven agent evaluation, and RAMPART for agentic red teaming and safety testing, etc. Produce reusable implementation guidance, reference architectures, technical documentation, workshops, and demonstration assets; subject to project scope and approval, contributions to these or other relevant open-source projects may also be considered.
• Present findings and demonstrations to technical, business, security, and governance audiences through internal sessions, public events, or recorded webinars, depending on available opportunities and the intern’s interests.

Qualifications
 

Required Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, Cybersecurity, or a related field.
• Must be legally authorized to work in France.
• Fluent in French and in English.

Preferred Qualifications:

• Interest in agentic architectures, generative AI, retrieval-augmented generation, APIs, tool integration, workflow orchestration, and single-agent or multi-agent systems.
• Awareness of responsible AI, cybersecurity, identity and access management, privacy, data governance, model evaluation, or observability principles.
• Ability to write high-quality documents that make complex technology accessible to IT professionals, project managers, architects, developers, security teams, and decision-makers.
• Analytical mindset and ability to define measurable evaluation criteria, investigate unexpected behavior, and communicate evidence-based conclusions.
• Team spirit and ability to collaborate across technical, business, security, legal, and governance disciplines.
• Rigorous and structured, with sound priority management and attention to reproducibility.
• Proactive communication and effective information sharing with internal and external audiences.
• Adaptability and sound judgement when responding to unforeseen technical, ethical, or security issues.
• Foundational knowledge of software development and AI or machine-learning concepts, with the ability to prototype in at least one programming language.