Boehringer Ingelheim
Associate System Engineer
- Compensation
- Not disclosed
- Location
- Biberach, Ba
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor’s degree in computer science, mathematics, or a related field, along with solid experience in IT. A master’s degree is considered an advantage, but not a requirement
- Practical knowledge of IT infrastructure and application environments, including databases, servers, cloud platforms, networks, interfaces and containerized applications
- Proficiency in at least 3 of the following technologies/platforms: OpenShift/K8S/Kubernetes, Bitbucket/GitHub, Jira/Confluence, Jenkins/any other CI/CD, AWS/Azure, Python, TypeScript, ServiceNow, APIs
- Proven track record in system lifecycle and documentation requirements in GxP environments
- Hands-on experience with or strong interest in GenAI/LLM technologies, e.g., integrating LLM-based services via APIs, agent and tool-calling patterns (e.g., MCP), retrieval-augmented generation, and o
- Nice-to-have: Knowledge of clinical trial supply processes and systems (e.g., MES, IRT, packaging & labeling, depot and distribution) and of pharmaceutical development/CMC
- A motivated team player with a global mindset who is passionate about innovative IT solutions and works both independently and collaboratively
- Strong communication and presentation skills in English
Full description
The Position
Join our global IT organization as Associate System Engineer and partner closely with our global Drug Development Departments for chemical and biological entities (Dev CMC). As Associate System Engineer for our CTS (Clinical Trial Supply) system landscape, your primary focus will be on managing and advancing systems that support the clinical trial supply process.
At the same time, you bring the system engineering perspective into our AI journey in CMC. Together with our AI software engineers, you make sure that generative and agentic AI solutions become robust, well-integrated, and compliant parts of our system landscape – including Clinical Trial Supply.
Tasks & responsibilities
- In your new role, you will advance the CTS system landscape as part of a cross-functional product team and develop solutions that support the clinical trial supply process.
- You will take ownership of system operations and the full software lifecycle, covering documentation, patching, updates, access controls and lifecycle compliance.
- Working closely with infrastructure teams and external partners, you will resolve incidents and problems, implement system changes, and coordinate migrations, replacements and retirements.
- Furthermore, you will drive the integration of GenAI, LLM and agent-based solutions into the CMC system landscape, including interfaces, data integrations and infrastructure.
- You will play an active role in shaping architecture, operability, security, access management, lifecycle and validation concepts for AI-enabled systems in GxP environments.
- In addition, you will help define and continuously improve architectural and operational standards across the CMC system landscape.
Requirements
- Bachelor’s degree in computer science, mathematics, or a related field, along with solid experience in IT. A master’s degree is considered an advantage, but not a requirement
- Practical knowledge of IT infrastructure and application environments, including databases, servers, cloud platforms, networks, interfaces and containerized applications
- Proficiency in at least 3 of the following technologies/platforms: OpenShift/K8S/Kubernetes, Bitbucket/GitHub, Jira/Confluence, Jenkins/any other CI/CD, AWS/Azure, Python, TypeScript, ServiceNow, APIs
- Proven track record in system lifecycle and documentation requirements in GxP environments
- Hands-on experience with or strong interest in GenAI/LLM technologies, e.g., integrating LLM-based services via APIs, agent and tool-calling patterns (e.g., MCP), retrieval-augmented generation, and operating such solutions in enterprise environments (CI/CD, containerization, monitoring)