AI Platform Engineer

Publication date : Apr 15, 2026, 12:00AM

About us

Join us at Orange Business!
We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.

About the role

• Your day-to-day missions

• You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.

• You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.

• You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).

• You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.

• You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.

• Occasional missions and example projects

• You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).

• You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.

• You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.

• Skills you will develop
  This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.