Design, implement and maintain Agentic AI applications to support various areas of Octapharma’s core business (such as Manufacturing Science and Technologies, Research & Development, Sales)
Design, implement and maintain monitoring solutions for our Agentic AI applications to ensure the highest possible quality of output for users
Implement and maintain relevant knowledge graphs that capture critical information about Octapharma’s knowledge and processes to support Agentic AI solutions.
Design, implement, automate and maintain scalable machine learning pipelines using MLflow on Databricks.
Work with the rest of IT and data science teams to integrate state-of-the-art generative AI solutions into business processes and workflows.
Provide training and support to end-users if necessary.
Ensure all AI solutions comply with regulatory standards in the pharmaceutical industry, utilizing Azure security and compliance features.
Coach and support teams in the various business functions to help them onboard onto relevant AI solutions (including but not limited to agentic platforms built on Databricks) and fully leverage the potential of these technologies.

At least a bachelor’s degree in computer science, Engineering, Data Science, or related field
Good communication and interpersonal skills with the ability to work in an international, distributed team and successfully interact with stakeholders.
Fluent in English . German is a plus.
Minimum of 5 years of experience in data and/or AI engineering, with a strong focus on cloud native technologies.
Demonstrated experience in deploying and maintaining Agentic and/or RAG-based applications using Databricks or another equivalent cloud-based technology.
Demonstrated experience in building Machine Learning models and promoting ML pipelines across different environments, including production.
Proficiency in Python with a strong focus on task orchestration, machine learning and genAI libraries, and demonstrated experience of collaborative work on code development and version control systems (e.g. GitHub, GitLab, or equivalent)
Experience with cloud platforms is required. Azure knowledge is a plus. Any Azure or Databricks certification is a plus.
Experience working in regulated industries such as pharma or healthcare is a plus.

You help save lives
Every day is meaningful as we produce life-saving medicines
Family values
Long-term perspective for employees and relationships
Be rewarded with market-related salary and benefits package
You will have a high level of influence where you can make a difference and leave your footprint
Work with skilled and fun colleagues in a relatively informal organization
Skills development
We offer various internal and external employee and leadership trainings, trainee programs and digital solutions

Senior Data Engineer – Generative AI

Key skills