Senior AI Engineer - Agentic Systems & LLMs

Boehringer Ingelheim GmbH; Biberach an der Riß; Remote; EUR 90,000 - 130,000; Full time

Job summary

Boehringer Ingelheim GmbH in Germany is seeking a Senior AI Engineer to drive agentic AI initiatives across CMC and genAI platforms. You will design and deploy GenAI agents, collaborate with business stakeholders, and advance scalable AI capabilities across globally distributed systems.

You will lead implementation of LLM-based workflows, define governance and standards, and mentor colleagues while fostering Responsible AI practices.

Qualifications

• Master’s degree in CS, data science, bioinformatics, or life sciences with several years in AI or software engineering.
• Hands-on experience designing and implementing LLM-based agents and multi-agent systems.
• Experience deploying software in enterprise environments with containerization and CI/CD.
• Experience establishing scalable architectural standards and governance for GenAI/LLMs.
• Ability to translate business needs into practical tech solutions.
• Excellent English communication skills.

Responsibilities

• Design, develop, deploy, operate, and enhance GenAI agents and multi-agent systems.
• Develop production-ready solutions using modern software engineering, DevOps, and AI practices.
• Collaborate with stakeholders to identify and deliver AI use cases that add business value.
• Explore GenAI/LLM technologies and create scalable solutions.
• Define governance and architectural standards for GenAI initiatives.
• Act as AI ambassador, driving adoption through upskilling and community building.

Skills

LLM agents

Multi-agent systems

DevOps

Python

API frameworks

Containerization

CI/CD

Education

Master's degree in Computer Science

Master's degree in Data Science

Master's degree in Life Sciences

Tools

Docker

Kubernetes

CI/CD

APIs

Job description

Senior AI Engineer - Agentic Systems & LLMs

The Position

In everything we do and in everything we say, we strive for the best possible ways to help our business serve our patients.

By putting our colleagues in Drug Development Departments for chemical and biological entities (CMC) at the center of our actions, we jointly identify, develop, and implement innovations that enable faster and better decisions across the overall Boehringer Ingelheim pipeline. With the rapid advent of generative AI, LLMs, and agentic technologies, we have the opportunity to accelerate this dramatically and fundamentally change the way we work. Only very few IT roles offer such a direct connection to Boehringer Ingelheim's scientific value chain.
As our Senior System Engineer for Agentic AI / LLM solutions, you will help shape the transformation of CMC into the era of generative and agentic AI. You will work hands-on with and for our business to develop solutions ranging from simple agents to designing and building complex solutions from scratch, while also driving implementation and upskilling initiatives that accelerate the adoption of these technologies across CMC.

Tasks & responsibilities

• In your new role, you will design, develop, deploy, operate, and continuously enhance highly complex and globally distributed GenAI agents, multi-agent systems, workflow automations, and data integrations
• You will develop production-ready solutions based on modern software engineering, DevOps, and AI-assisted development practices
• Working closely with business stakeholders, you will identify, prioritize, develop, and deliver AI-based use cases that drive measurable business value while adhering to security, privacy, and Responsible AI standards
• You will explore and evaluate the latest GenAI, LLM, and agentic technologies, turning innovative ideas into scalable solutions that accelerate business value and enhance future readiness
• You will shape the foundation for scalable AI innovation by defining governance frameworks, operating models, and architectural standards that drive the successful development and continuous improvement of GenAI, LLM, and agent-based solutions.
• Act as a trusted advisor and AI ambassador—driving adoption through community building, stakeholder engagement, onboarding initiatives, and targeted upskilling programs across our business and IT partners

Requirements

• Master’s degree in Computer Science, Data Science, Bioinformatics, Life Sciences, or a related field, combined with several years of relevant professional experience in AI, software engineering, digital innovation, or related disciplines.
• Hands-on experience designing and implementing LLM-based agents, multi-agent systems, workflow automations, and data integrations (e.g., using Python, modern API frameworks, orchestration frameworks, or MCP/tool-calling patterns).
• Proven experience developing, deploying, and maintaining software solutions in enterprise environments using modern software engineering, containerization, CI/CD, and AI-assisted development practices.
• Proven experience establishing scalable architectural standards, LLMOps practices, and governance structures for GenAI, LLM, and agent-based solutions.
• Ability to work directly with business stakeholders to translate needs into practical technology-based solutions, applying structured problem-solving approaches and integrating relevant data sources.
• Demonstrated ability to provide technical leadership, mentor colleagues, and foster the adoption of best practices in AI solution development.
• Nice-to-have: Good understanding of pharmaceutical development and CMC processes (e.g., process/analytical development, formulation, or manufacturing science) and GxP-regulated environments.
• Strong communication, consulting, and collaboration skills, combined with a pragmatic, hands‑on mindset and the ability to rapidly turn ideas into practical solutions.
• Excellent written and spoken English skills.

As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package. Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.

Please submit your application documents in English.