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 global 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.
Benefits
Flexible working conditions
Life and accident insurance
Health insurance at a competitive price
Investment in your learning and development
Gym membership discounts
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 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 integral accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.
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📌 Senior AI Engineer (San Cugat del Vallés)
🏢 Boehringer Ingelheim
📍 San Cugat del Vallés