Paid Internship
Work Mode
Time Spent
Required Degree
Duration

Open Positions

Experience More On the Go

GET IT ONGoogle Play
Download on theApp Store
© 2026you'll get it. all rights reserved.

Internship Explorer

  • Explore
  • Saved Internships
Sign In

Internship Explorer

  • Explore
  • Saved Internships
Sign In
Paid Internship
Work Mode
Time Spent
Required Degree
Duration

4Open Positions

Auto-load
  • Generative AI & Cybersecurity Lab Intern

    Fortinet
    Sophia Antipolis, France
    Found 4 days ago
  • Working Student (f/m/d) Embedded Control

    NXP Semiconductors
    Munich, Germany
    Found 3 weeks ago
  • Product Application Engineer

    AMD
    Belfast, United Kingdom
    Found 1 month ago
  • Student assistant

    Technische Universität Berlin
    Berlin, Germany
    Found 1 month ago
  • Stagiaire – Calcul embarqué des pertes IGBT d’un onduleur moyenne tension (H/F)

    GE Vernova
    Belfort, France
    Found 2 months ago

Generative AI & Cybersecurity Lab Intern

Fortinet
Found 4 days ago
Location
Sophia Antipolis, France
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
4 days ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Generative AI
  • LLMs
  • AI architectures
  • software development
  • AI frameworks
  • containers
  • APIs
  • Kubernetes
  • cybersecurity

Soft Skills

  • analytical skills
  • problem-solving skills
  • Quick learner
  • proactive
  • curious
  • positive attitude

Job Description

Fortinet has an exciting internship opportunity for you to join our Consulting Systems Engineering team and contribute to the development of a Sovereign Generative AI infrastructure lab in Sophia Antipolis. Through this internship, you will gain hands-on experience building and experimenting with modern Generative AI environments while working alongside cybersecurity experts. You will also benefit from mentorship, practical training, and exposure to real-world enterprise architectures that combine AI innovation with cybersecurity best practices. This internship aims to accelerate the development of tools and applications on a dedicated GenAI lab environment. The objective is to build a realistic, end-to-end Generative AI ecosystem that reflects how enterprises are deploying AI today, including prompt-based user interfaces, MCP servers, AI agents, LLM serving components, and Retrieval-Augmented Generation (RAG) infrastructure. Your work will help create practical environments that support demonstrations, technical workshops, and proof-of-concept activities while enabling the Consulting Systems Engineering team to remain focused on the lab’s core AI infrastructure and Fortinet product integration. As part of this internship, you will also design and develop several GenAI-enabled applications that simulate common enterprise use cases across domains such as Finance, Sales, HR, and IT. These applications will be intentionally designed as targets for simulated attacks and misuse scenarios against AI systems. This approach will allow the team to demonstrate real-world risks such as data leakage, prompt manipulation, and infrastructure exposure. The environments created during this project will help showcase how Fortinet cybersecurity solutions can protect modern AI workloads across containers, Kubernetes environments, APIs, and network layers. The outputs of this internship will be directly leveraged by the Consulting Systems Engineering team for demonstrations, workshops, proofs of concept, and Executive Briefings. The lab will play a key role in showcasing Fortinet’s leadership and practical capabilities in securing Generative AI infrastructures. Job Responsibilities: Contribute to the development of a realistic Generative AI lab environment. Develop components such as prompt user interfaces, AI agents, MCP servers, and RAG pipelines. Build GenAI-enabled enterprise use-case applications (Finance, Sales, HR, IT). Design scenarios that simulate attacks and misuse of AI systems. Support the integration and demonstration of cybersecurity protections for AI workloads. Assist the team in preparing technical demonstrations, workshops, and proof-of-concept environments.

Requirements

  • Interest in Generative AI technologies, LLMs, and modern AI architectures.
  • Basic knowledge of software development and AI frameworks.
  • Familiarity with containers, APIs, or Kubernetes is a plus.
  • Strong analytical and problem-solving skills.
  • Quick learner with a proactive, curious, and positive attitude.
  • Interest in cybersecurity and securing modern AI systems.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Nice to Haves

  • Familiarity with containers, APIs, or Kubernetes is a plus.
▶Apply Now

Similar Roles You Might Like

  • AI Engineering Intern

    G-Research
    London, United Kingdom
    Found 2 months ago
  • Data and Technology - Operations and AI Innovation Intern

    Cloudflare
    Lisbon, Portugal
    Found 1 month ago
  • Intern Generative AI Knowledge Management (f/m/x)

    BMW Group
    Munich, Germany
    Found 3 weeks ago
  • KERING AI Enterprise Architect (stage)

    Kering
    Paris, France
    Found 1 week ago
  • AI Developer - Analytics & Agentic AI - F/M

    SAP
    Levallois-Perret, France
    Found 2 months ago
  • Intern – Data Scientist – Fastening & Protection Solutions (m/f/x)

    Hilti Schweiz
    Schaan, Liechtenstein
    Found 1 week ago