AI Engineer
Sanofi —Barcelona, Barcelona provincia
- Trabajo híbrido
- Informática
- DevOps
- Máster
6h

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AI Engineer

Sanofi -
Barcelona, Barcelona provincia

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Detalles del empleo

Hace 6 horas

Cualificaciones

CI/CD
Derecho
Informática
DevOps
Git
Máster
SQL
AWS
Docker
Grado
Cloud
Inteligencia artificial
Python

Descripción completa del empleo

AI Engineer

Location: Barcelona, Spain

About the job

As an AI Engineer within this team, you will design and build cutting-edge agentic AI systems that reimagine how Sanofi's global Supply Chain operates.

You will architect and deploy intelligent, autonomous AI agents that automate complex supply chain workflows, unlock real-time decision-making, and drive operational excellence at scale.

About Sanofi

Sanofi is a global biopharmaceutical company dedicated to supporting people through their health challenges, committed to chasing the miracles of science to improve people's lives. Our team across some 100 countries transforms the practice of medicine — providing life-changing treatments and life-saving vaccines to millions globally, with sustainability and social responsibility at the center of our ambitions. Our values — Aim Higher, Act for Patients, Be Bold, and Lead Together — guide everything we do.

Main responsibilities

Agentic AI Systems Development

Design and develop agentic AI systems that automate and optimize end-to-end supply chain workflows, including demand forecasting, inventory management, logistics, and procurement
Build multi-agent architectures using frameworks such as LangChain, LangGraph, or equivalent
Develop AI-powered decision-making systems that enable autonomous or semi-autonomous operations across supply chain processes
Integrate LLMs and generative AI capabilities into operational workflows to enhance intelligence, reasoning, and automation
Design and implement RAG (Retrieval-Augmented Generation) architectures and vector database solutions to power knowledge-grounded AI agents

About you

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Software Engineering, or a related quantitative field

Experience

3–5 years of hands-on experience in AI/ML development or software engineering with working exposure to data engineering
Proven experience building and deploying AI agents or multi-agent systems in a professional environment
Track record of delivering production-grade AI or data solutions with measurable business impact

Technical Skills

Programming: Python (proficient), SQL (advanced)
Agentic Frameworks: LangChain, LangGraph or similar
LLM & GenAI: AWS Bedrock, prompt engineering, RAG architectures, experience with OpenAI/other providers transferable
Vector Databases: Pinecone or equivalent
Cloud Platforms: AWS or equivalent
MLOPs: W&B Weave or equivalent, model monitoring, CI/CD for AI
DevOps: Git, CI/CD pipelines, Docker/Kubernetes

Why choose us?

Frontier AI Engineering: Work on cutting-edge agentic AI systems — multi-agent architectures, LLM integration, and real-time AI decision-making — with genuine operational impact at global scale
Reimagine Supply Chain: Be part of a pioneering team transforming how Sanofi's global supply chain operates through AI — from demand forecasting to logistics optimization
Global Impact: Your AI solutions will directly influence the availability of life-saving medicines for patients worldwide
Cutting-Edge Exposure: Stay at the forefront of AI — LangGraph, multi-agent systems, RAG, generative AI — in a team that actively explores and adopts emerging technologies
Shape the Future: Contribute to the AI Engineering team's product roadmap and help define what AI-driven operations look like in a global pharma leader
Career Growth: Access to structured development programs, internal mobility, and continuous learning resources within Sanofi's digital ecosystem
Inclusive Culture: Join a diverse, mission-driven team united by a passion for AI and operational excellence
Competitive Package: Attractive compensation, performance bonuses, and comprehensive benefits
Flexible Working: Hybrid work model supporting work-life balance

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