AI Platform Internship: Build Agentic Agents & Automation

Philip Morris International

Lausanne

On-site

CHF 20,000 - 27,000

Full time

5 days ago
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Job summary

Philip Morris International is offering a 12-month AI, Automation & Machine Learning Internship starting mid-February 2027. The role sits within the Global Measurement Framework team and spans a Digital squad across GMF, Reporting & Insights, and SEO & AI Search to industrialize an Agentic AI Platform.

You will design AI agents, automate workflows, integrate data sources, and explore machine learning applications while collaborating with business, analytics, and technology stakeholders.

Qualifications

  • Currently pursuing a Master's degree in Computer Science, Data Science, AI, ML, or related field.
  • Hands-on experience with Python and SQL; exposure to APIs, Git, and cloud or automation platforms.
  • Interest in generative AI, AI agents, machine learning, and workflow orchestration.

Responsibilities

  • Design and build reusable AI agents and components for the Agentic AI Platform.
  • Automate recurring measurement, reporting, data quality, and knowledge management workflows.
  • Explore machine learning approaches to solve business challenges.
  • Integrate data sources, APIs, and approved enterprise tools into reliable workflows.
  • Test solutions, document outcomes, and support scalable adoption.
  • Contribute to data harmonization and analytics initiatives where needed.

Skills

Python
SQL
APIs
Git
Cloud
Automation

Education

Master's degree in Computer Science or related field

Job description

Philip Morris International is offering a 12-month AI, Automation & Machine Learning Internship starting mid-February 2027. The role sits within the Global Measurement Framework team and spans a Digital squad across GMF, Reporting & Insights, and SEO & AI Search to industrialize an Agentic AI Platform.

You will design AI agents, automate workflows, integrate data sources, and explore machine learning applications while collaborating with business, analytics, and technology stakeholders.

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