🇪🇸 Madrid, Spain
AI Engineer
Swiss Re
TecnoempleoEnglish-friendlyonsite
About the Team and Our Scope We are a forward-thinking tech organization within Swiss Re delivering transformative AI/ML solutions that redefine how businesses operate. Our mission is to build intelligent secure and scalable systems that deliver real-time insights automation and high-impact user experiences to clients globally. Youll join a high-velocity AI/ML team working closely with product managers architects and engineers to create next-gen enterprise-grade solutions. Our team is built on a startup mindset - bias to action fast iterations and ruthless focus on value delivery. Were not only shaping the future of AI in business - were shaping the future of talent. This role is ideal for someone passionate about advanced AI engineering today and curious about evolving into a product leadership role tomorrow. Youll get exposure to customer discovery roadmap planning and strategic decision-making alongside your technical contributions. Role Overview As an AI/ML Engineer you will play a pivotal role in the research development and deployment of next-generation GenAI and machine learning solutions. Your scope will go beyond retrieval-augmented generation (RAG) to include areas such as prompt engineering long-context LLM orchestration multi-modal model integration (voice text image PDF) and agent-based workflows. You will help assess trade-offs between RAG and context-native strategies explore hybrid techniques and build intelligent pipelines that blend structured and unstructured data. Youll work with technologies such as LLMs vector databases orchestration frameworks prompt chaining libraries and embedding models embedding intelligence into complex business-critical systems. This role sits at the intersection of rapid GenAI prototyping and rigorous enterprise deployment giving you hands-on influence over both the technical stack and the emerging product direction. Key Responsibilities - Build Next-Gen GenAI Pipelines Design implement and optimize pipelines across RAG prompt engineering long-context input handling and multi-modal processing. - Prototype Validate Deploy Rapidly test ideas through PoCs validate performance against real-world business use cases and industrialize successful patterns. - Ingest Enrich Embed Construct ingestion workflows including OCR chunking embeddings and indexing into vector databases to unlock unstructured data. - Integrate Seamlessly Embed GenAI services into critical business workflows balancing scalability compliance latency and observability. - Explore Hybrid Strategies Combine RAG with context-native models retrieval mechanisms and agentic reasoning to build robust hybrid architectures. - Drive Impact with Product Thinking Collaborate with product managers and UX designers to shape user-centric solutions and understand business context. - Ensure Enterprise-Grade Quality Deliver solutions that are secure compliant (e.g. GDPR) explainable and resilient - especially in regulated environments. What Makes You a Fit Must-Have Technical Expertise - Proven experience with GenAI techniques and LLMs including RAG long-context inference prompt tuning and multi-modal integration. - Strong hands-on skills with Python embedding models and orchestration libraries (e.g. LangChain Semantic Kernel or equivalents). - Comfort with MLOps practices including version control CI/CD pipelines model monitoring and reproducibility. - Ability to operate independently deliver iteratively and challenge assumptions with data-driven insight. - Understanding of vector search optimization and retrieval tuning. - Exposure to multi-modal models Nice-To-Have Qualifications - Experience building and operating AI systems in regulated industries (e.g. insurance finance healthcare). - Familiarity with Azure AI ecosystem (e.g. Azure OpenAI Azure AI Document Intelligence Azure Cognitive Search) and deployment practices in cloud-native environments. - Experience with agentic AI architectures tools like AutoGen or prompt chaining frameworks. - Familiarity with data privacy and auditability principles in enterprise AI. Bonus You Think Like a Product Manager While this role is technical at its core we highly value candidates who are curious about how AI features become products. If youre excited by the idea of influencing roadmaps shaping requirements or owning end-to-end value delivery - well give you space to grow into it. This is a role where engineering and product are not silos. If youre keen to move in that direction well mentor and support your evolution. For Spain the base salary range for this position is between EUR 42000 and EUR 70000 (for a full-time role). The specific salary offered considers - the requirements scope complexity and responsibilities of the role - the applicants own profile including education/qualifications expertise specialisation skills and experience. In addition to your base salary Swiss Re offers an attractive performance-based variable compensation component designed to recognise your achievements. Further you will enjoy a variety of global and location specific benefits. Eligibility may vary depending on the terms of Swiss Re policies and your employment contract. #LI-Hybrid About Swiss Re Swiss Re is one of the worlds leading providers of reinsurance insurance and other forms of insurance-based risk transfer working to make the world more resilient. We anticipate and manage a wide variety of risks from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 15000 employees across the world. Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age gender race ethnicity gender identity and/or expression sexual orientation physical or mental ability skillset thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability. If you are an experienced professional returning to the workforce after a career break we encourage you to apply for open positions that match your skills and experience. We may use AI-powered tools to support the review and evaluation of applications for this position. These tools provide additional insights to our recruitment teams but all hiring decisions are carefully reviewed and made by people. To learn more about how we use AI in recruitment and how we handle your personal data please review our Data Privacy Statement before applying. 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