(Senior) AI Engineer - Data & AI Organisation (all genders, full-/part-time)
At a glance
Senior AI Engineering role at Merck KGaA. Weiterstadt.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build analytics pipelines and agent-based workflows that combine language models, predictive models and multi-agent systems
- Make AI solutions reliable and repeatable, with strong performance, transparency and security at enterprise scale
- Help business teams use AI results through APIs, dashboards and embedded analytics
- Work with product owners, data engineers and data scientists in agile delivery teams, while sharing knowledge and mentoring peers
What you bring
- A university degree in mathematics, physics, computer science or a related discipline
- At least five years across data science, data engineering, application design, analytics or visualization in a global organization
- Strong Python and SQL skills, with practical experience building applications powered by large language models
- Hands-on grounding in machine learning, statistics, predictive modeling and natural language processing
- Experience with finance, HR or procurement data and business processes
Who this fits
This role suits an experienced AI engineer who can build enterprise workflows and collaborate across product, data engineering and data science teams. It is based in Weiterstadt, Germany, and can be full-time or part-time. English communication skills are required; German is an added advantage.
From the employer
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!
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