Solution Architect > Paris > Joboolo FR :

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need.


It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.


Join our Digital Architecture Center of Excellence team as Solution Architect and you can help make it happen.


Your job?
As a Solution Architect, you are a dynamic technology leader interested in creating and designing state-of-the-art GenAI platforms and applications to support business initiatives.

We are an innovative global healthcare company with one purpose:


to chase the miracles of science to improve people’s lives.


We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible.


Ready to get started?

1. Design end-to-end architecture for GenAI platforms and applications.


2. Provide architectural guidance and recommendations for building GenAI powered applications on cloud services.


3. Develop reference architectures for GenAI solutions, including data pipelines for handling unstructured data assets.


4. Implement pilots that utilize cloud-native services for the GenAI applications to rapidly demonstrate business value.


5. Guarantee and promote the right usage of standards for processes, applications, and infrastructure environments.


6. Leverage the existing portfolio of digital products, catalog of services and promote the usage of existing building blocks.


7. Design and produce design documents and solution roadmaps showing the states of transition.


8. Orchestrate the delivery of interconnected technology components through the solution lifecycle.


9. Partner with Business, Technology and Product stakeholders to contextualize the architecture design.


10. Contributes to standards of life cycle maintenance.

Experience working with large language model (LLM) technologies, evaluation methods, and customization through pre-training and fine-tuning techniques.


Proficient in designing, deploying, and evaluating LLM-powered agents and tools, as well as orchestration methods.


Experienced in prompt engineering and retrieval-augmented generation (RAG) methods.


Experience developing best Lean & Agile practices, policies, and / or procedures.


Facilitate design and review sessions to define broad solutions with the big picture in mind.

Deep knowledge of various architectural styles and patterns, and the ability to facilitate design and review sessions that consider the broader picture.


Hands-on experience with cloud-based services, particularly AWS services.


Experience in designing, deploying, and evaluating solutions powered by large language models (LLMs).


Skilled in processing and managing unstructured data, and familiarity with GenAI design patterns such as RAG and Agents, including experience with vector and knowledge graph databases.


Strong communication and relationship-building skills, with a natural ability to influence and drive alignment.

A degree in Computer Science, Information Systems, Software Engineering, or a related field.

Fluency in English.