Level

SanofiPosted today

AI Engineer

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.

BarcelonamidFull time€65k

AI in this role

openailangchainlanggraphbedrockpinecone
prompt-engineeringragllm-integrationai-agentsml-ops
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 

#LI-Hybrid #BarcelonaHub #SanofiHubs

Pursue progress, discover extraordinary

Better 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 - €65.400,00

Final 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

Prompt EngineeringRagLlm IntegrationAI AgentsMl OpsOpenAILangChainLangGraph

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How have you integrated a large language model into a production application?
  4. How do you decide when an AI agent can act on its own versus asking for approval first?
  5. 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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