Mistral AISingapore3h ago
SanofiPosted today
AI Engineer at Sanofi scores 93 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
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
#LI-Hybrid #BarcelonaHub #SanofiHubs
Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
The salary range for this position is :€43.600,00 - €65.400,00Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How have you integrated a large language model into a production application?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you monitor a model once it's live, and how do you know it needs retraining?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, Rag, Llm Integration, AI Agents, and Ml Ops. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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