AI Full Stack Engineer

At Roche you can show up as yourself, embraced for the unique qualities you bring.

Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally.

This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

Join Roche, where every voice matters.

The Position

A healthier future.

It’s what drives us to innovate.

To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.  Creating a world where we all have more time with the people we love.

That’s what makes us Roche.

The Position:

The AI Full Stack Engineer is a pivotal role within the Service Intelligence team, responsible for designing and deploying the software solutions that turns Roche Support Network (RSN) operational data into actionable tools.

This individual will bridge the gap between complex AI models and the daily operations of field and depot service teams, ensuring that intelligence is not just generated, but accessible and intuitive for the enterprise.

Your mission is to design, craft, deploy, and sustain software solutions that are tailored to business requirements and objectives using a combination of frontend, backend, full-stack, and mobile development expertise.

You adhere to in-depth domain knowledge and promote a DevOps and Cloud-focused approach.

You will also act as a technical lead for projects and lead employees and processes in programming activities. 

You have an overall understanding of the key challenges in our industry.

You are passionate about the application of software engineering practices and their advanced application to data science to drive insights and value within a business-centric environment.

The Opportunity:



* Drives End-to-End Service AI Applications: Oversees the full lifecycle of applications that support service performance, from initial design to the deployment of tools used by the RSN organization.


* Integrate Service Ecosystems: Design and deploy production-grade APIs and interfaces that connect AI insights with core service systems like Salesforce® FSM and SAP®.  


* Engineers for the Full Stack: Designs, crafts, and deploys production-grade AI solutions using Python (Flask/FastAPI), SQL, and modern front-end frameworks (like React or Vue.js with JavaScript).

This includes building backend APIs, managing data pipelines as needed, and creating interactive user interfaces.


* Implements and Manages MLOps Infrastructure: Establishes and maintains the CI/CD/CT (Continuous Integration/Delivery/Training) pipelines necessary for automating the deployment, monitoring, and retraining of machine learning models in a cloud environment.


* Champions Service Intelligence Architecture: Ensures all solutions are built with scalability, rel...