Senior AI Engineer - Agentic Systems & LLMs

Boehringer Ingelheim is a biopharmaceutical company active in both human and animal health. As one of the industry's top investors in research and development, the company focuses on developing innovative therapies that can improve and extend lives in areas of high unmet medical need. Independent since its foundation in 1885, Boehringer takes a long-term perspective, embedding sustainability along the entire value chain. Our approximately 54,500 employees serve over 130 markets to build a healthier and more sustainable tomorrow. Learn more at www.boehringer-ingelheim.com

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.

Start date: asap

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.

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com

Ready to contact us?

If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail:

Recruitment process:

Step 1: Online application - The job posting is presumably online until November 13th, 2026. We reserve the right to take the posting offline beforehand. Applications up to October 30th, 2026, are guaranteed to be considered.

Step 2: Virtual meeting in the period from beginning till mid of November

Step 3: On-site interviews beginning mid of November

Please submit your application documents in English.

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