Software Engineering Lead, eCommerce AI & Data Enablement
Sanofi is hiring a Software Engineering Lead, eCommerce AI & Data Enablement in Barcelona, Spain. It pays €89k a year and Level rates it ; you can apply on Sanofi.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- The posting mentions prompt engineering and RAG among its tools and skills.
- Level classes it as a lead role.
- Sanofi has 1,300+ other open roles on Level.
- Posted in the last few days.
AI in this role
- Location: Barcelona, Spain
About the Job
Sanofi's Global eCommerce organization is building the digital infrastructure that connects healthcare professionals, institutions, and patients to our life-changing medicines. As Lead, AI & Data Enablement, you'll stand up and lead a new, strategically critical capability: making our entire eCommerce, Tender Management, and B2B technology ecosystem AI-ready and data-enabled.
This is a high-impact technical leadership role — not a people management position. You'll coordinate a flexible team of external freelance engineers and specialists, bringing in the right skillsets — data engineering, ML engineering, prompt engineering, analytics engineering, data science — for the right projects at the right time. You'll partner closely with Sanofi's central AI & Data teams, taking guidance on enterprise standards while owning execution within the eCommerce domain.
About Sanofi
Sanofi is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health, committed to chasing the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.
At Sanofi, we believe our people are our greatest strength, and we are committed to creating an inclusive environment where diverse perspectives drive innovation. Our values — Aim Higher, Act for Patients, Be Bold, and Lead Together — guide everything we do.
Main responsibilities
- Define and execute the AI & data enablement strategy — assess current data infrastructure and AI readiness, identify gaps, and build a multi-quarter roadmap balancing quick wins with foundational investments and product goals & features
- Source, onboard, and direct external freelance engineers and contractors, matching the right skillsets to the right projects and ensuring quality and delivery
- Design and implement scalable ETL/ELT pipelines, data warehousing, and observability frameworks, establishing data quality and governance practices with central Data teams
- Build and deploy production-grade AI/ML capabilities, including LLM-based tools, RAG architectures, prompt engineering pipelines, and ML models for analytics and personalization
- Create self-service dashboards and analytics that empower Product, Commercial, and Engineering stakeholders to make data-driven decisions
- Partner with Sanofi's central AI & Data teams to align on enterprise standards and tooling, contributing eCommerce use cases back to the enterprise roadmap
- Evangelize AI and data literacy across the organization through workshops, documentation, and mentoring
- Stay ahead of emerging AI/ML techniques, running proofs-of-concept and bringing forward recommendations to keep Sanofi's platforms at the leading edge
About you
- Experience: 7+ years in data engineering, ML engineering, analytics engineering, or AI/ML technical leadership, with a track record of building data and AI systems from the ground up in complex, multi-stakeholder environments
- Leadership style: Hands-on experience coordinating external contractors or consulting teams — scoping work, managing delivery, and ensuring quality without direct reports
- Technical skills: Strong depth across the full data and AI stack — ETL/ELT pipelines, data warehousing, analytics, ML model development and deployment, and LLM/prompt engineering
- Collaboration: Experience working in a matrixed organization, partnering effectively with centralized platform or enablement teams
- Bonus: Background in eCommerce, B2B platforms, or enterprise software is a strong plus
Why choose us?
- Shape a brand-new capability — build this function from scratch and define how AI and data power Sanofi's global eCommerce ecosystem
- Broad technical ownership — work across the full stack, from pipelines to production AI systems, with real autonomy
- Global impact at scale — your work directly supports how patients and healthcare professionals access life-changing medicines
- Cutting-edge technology — hands-on with LLMs, RAG, and modern data infrastructure on a platform under active transformation
- Mission-driven work — every pipeline and model you build helps make medicines more accessible worldwide
Pursue Progress. Discover Extraordinary.
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
#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 :€59.600,00 - €89.400,00Final 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.
How we rate this
Software Engineering Lead, eCommerce AI & Data Enablement at Sanofi rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
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?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Prompt engineering and RAG. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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