The Senior AI Engineer will design, build, and scale Machine Learning and Generative AI solutions integrated into enterprise platforms, data infrastructure, and products. As part of the Cybersecurity team, this role will support the transformation of the Cyber Security Operations Center (CSOC) by developing AI-driven capabilities that enhance security operations, automation, and decision-making. Working closely with platform, backend, data, product, and cybersecurity teams, the Senior AI Engineer will own the end-to-end AI lifecycle, from experimentation and development to deployment and monitoring, while providing technical leadership and mentoring within the AI Engineering team.

Tasks and responsibilities

- Design, develop, and deploy Machine Learning and Generative AI solutions from experimentation through production

- Build and review production-grade code and ensure seamless integration with existing platforms and services

- Partner with platform, backend, data, product, and cybersecurity teams to define requirements and architecture decisions

- Develop AI-driven capabilities that support the modernization and effectiveness of the Cyber Security Operations Center

- Monitor model performance, reliability, and drift while troubleshooting production issues

- Mentor junior engineers and provide technical guidance on complex challenges

- Evaluate and adopt new tools, frameworks, and approaches to continuously improve existing systems.Contribute to AI governance, data privacy, compliance, and responsible AI practices

- Document architecture decisions, system designs, and model behavior

- Stay current with emerging AI and Machine Learning technologies and apply relevant innovations

Requirements

- 5+ years of experience in AI/ML engineering with a proven track record of designing, building,



and deploying Machine Learning and Generative AI solutions in production environments

- Strong expertise in Python and hands-on experience with PyTorch or TensorFlow, together with solid knowledge of machine learning fundamentals, statistics, feature engineering, and model evaluation

- Experience with LLM frameworks and techniques including LangChain, LlamaIndex, Retrieval-Augmented Generation (RAG), embeddings, agentic workflows, and modern AI application development

- Proven ability to design scalable AI architectures, integrate AI capabilities into enterprise platforms, and develop API-driven services in cloud environments such as AWS, Azure, or GCP

- Solid understanding of MLOps practices, including CI/CD, containerization, model deployment, monitoring, observability, and lifecycle management

- Familiarity with vector databases, AI infrastructure tooling, and data governance, privacy, and compliance requirements such as GDPR

- Experience mentoring engineers, collaborating with integral cross-functional teams, and delivering solutions from proof of concept through production

- Experience working with cybersecurity, security operations, threat detection, incident response, or related domains is highly desirable

- Fluent English is required

Please note: The job title used in this advertisement may differ from the official contractual title.

#IamBoehringerIngelheim because…

We are continuously working to design the best experience for you.



Here are some examples of how we will take care of you:

- Flexible working conditions

- Life and accident insurance

- Health insurance at a competitive price

- Investment in your learning and development

- Gym membership discounts

If you have read this far, what are you waiting for to apply? We want to know more about you!

Our Company

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 54,300 employees serve over 130 markets to build a healthier and more sustainable tomorrow. Learn more at www.boehringer-ingelheim.com.

Why Boehringer Ingelheim?

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

📌 Senior AI Engineer (San Cugat del Vallés)
🏢 Boehringer Ingelheim
📍 San Cugat del Vallés