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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Ai Engineer - **Company:** Boehringer Ingelheim - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cyber Security, Continuous Integration, Data Governance, Data Infrastructure, Digital Architecture, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, AI Infrastructure, Cloud Platform System, Feature Engineering, Pytorch, Model Validation, Generative AI, Backend, Containerization, Machine Learning Operations, Api Design, GPT - **Published:** September 16, 2026 - **Apply:** https://www.buscojobs.com.es/senior-ai-engineer-en-madrid-ID-370596961 ## About the Role 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. ## Description 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 responsibilitiesDesign, develop, and deploy Machine Learning and Generative AI solutions from experimentation through productionBuild and review production-grade code and ensure seamless integration with existing platforms and servicesPartner with platform, backend, data, product, and cybersecurity teams to define requirements and architecture decisionsDevelop AI-driven capabilities that support the modernization and effectiveness of the Cyber Security Operations CenterMonitor model performance, reliability, and drift while troubleshooting production issuesMentor junior engineers and provide technical guidance on complex challengesEvaluate and adopt new tools, frameworks, and approaches to continuously improve existing systems.Contribute to AI governance, data privacy, compliance, and responsible AI practicesDocument architecture decisions, system designs, and model behaviorStay current with emerging AI and Machine Learning technologies and apply relevant innovationsRequirements5+ 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 environmentsStrong expertise in Python and hands-on experience with PyTorch or TensorFlow, together with solid knowledge of machine learning fundamentals, statistics, feature engineering, and model evaluationExperience with LLM frameworks and techniques including LangChain, LlamaIndex, Retrieval-Augmented Generation (RAG), embeddings, agentic workflows, and modern AI application developmentProven 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 GCPSolid understanding of MLOps practices, including CI/CD, containerization, model deployment, monitoring, observability, and lifecycle managementFamiliarity with vector databases, AI infrastructure tooling, and data governance, privacy, and compliance requirements such as GDPRExperience mentoring engineers, collaborating with global cross-functional teams, and delivering solutions from proof of concept through productionExperience working with cybersecurity, security operations, threat detection, incident response, or related domains is highly desirableFluent English is requiredPlease note: The job title used in this advertisement may differ from the official contractual title.BenefitsFlexible working conditionsLife and accident insuranceHealth insurance at a competitive priceInvestment in your learning and developmentGym membership discountsOur 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 ****, 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 .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 #J-*****-Ljbffr ## 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