(Senior) AI Engineer - Data & AI Organisation (all genders)
About this opportunity
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
Your Role
Are you ready to shape the future of Data & AI? Join our team as an AI Engineer and play a key role within our Data & AI Organization (MDAO) - a highly engaged team of data enthusiasts, engineers, and AI specialists. Our mission is to design, build, and run analytics solutions that deliver actionable insights to address business challenges and provide strategic data products to our partners across the Enabling Functions, including Finance, HR, Procurement, Legal, and many more. As an AI Engineer, you will design and implement reliable analytics pipelines and enterprise-grade agentic workflows, integrating LLMs, predictive models, and multi-agent frameworks to deliver scalable AI solutions across our business functions. You will ensure model reliability, reproducibility, and performance at enterprise scale within our modern technology ecosystem, utilizing platforms such as AWS, Palantir Foundry and Snowflake. Embedding explainability, transparency, and security into every AI solution and using Agentic Engineering tools to multiply the delivery is a core expectation of this role. You will work closely with Product Owners, Data Engineers, and fellow Data Scientists in agile, cross-functional Product-Oriented Delivery Teams (PODs), supporting business teams in consuming AI outputs through APIs, dashboards, and embedded analytics. You will actively contribute to building internal AI literacy by sharing knowledge, mentoring peers, and piloting innovative approaches. A genuine curiosity for the latest developments in AI and data science will be essential, soyou will continuously identify opportunities to experiment, measure impact, and drive the field forward within our organization.
If you are curious and ambitious about taking on this challenge, we encourage you to apply today!
Who You Are
University degree in Mathematics, Physics, Computer Science, or a related field.
5+ years of experience in data science, data engineering, application design, analytics, or visualization within a global organization.
Experience working with Finance, HR, and/or Procurement data and core business processes.
Excellent programming skills in Python and SQL
Strong foundation in machine learning, statistics, predictive modeling, and NLP combined with practical experience developing LLM-powered applications
Familiarity with vector stores, reranking techniques and LLM observability tooling such as (Langfuse, LangSmith, or similar)
Experience in using agentic engineering tools such as Claude Code, OpenAI Codex, or OpenCode effectively and responsibly within enterprise software development workflows
Experience working with cloud and enterprise data platforms such as AWS, Palantir Foundry or Snowflake and frameworks like Apache Spark, polars, DuckDB or dbt for data transformation.
MLOps & DevOps experience, including MLflow, CI/CD and Docker
Continuously up-to-date with digital trends, emerging technologies, and the evolving AI landscape.
Excellent communication and presentation skills in English; German language skills are a plus.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 239 comparable Senior Data & Digital roles across 46 biopharma companies.
Salary context
81 of 239 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 239 comparable roles
+ 19 more countries
Seniority mix
239 of 239 peers have a known seniority level
Therapeutic area mix
9 of 239 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
Or follow a whole field: get every new Data & Digital job in Spain, and choose locations and companies.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.