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Behind every major disaster, every pandemic, every systemic shock, there is a financial system absorbing the impact. We use AI to strengthen that system. Join our Zurich-based team to design intelligent tools that help the world recover from uncertainty — faster and smarter. About the Role As an AI Engineer at Swiss Re, you'll be at the forefront of developing transformative AI solutions that reshape how we approach complex insurance and reinsurance challenges. You'll collaborate with a diverse, global team across multiple locations including Armonk NY, Zurich, Bangalore, Singapore, Beijing, and Hong Kong, working directly with business experts and external clients to create AI-powered services that drive real business value. Key Responsibilities: Design and develop sophisticated AI solutions including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and other generative AI applications Engineer and optimize prompts for various business use cases, ensuring reliability , accuracy , and performance of AI systems Build end-to-end AI pipelines from data ingestion to model deployment and monitoring in production environments Collaborate with data scientists, software engineers, and business stakeholders to translate business requirements into scalable AI solutions Implement MLOps best practices including model versioning, A/B testing, and continuous integration/deployment for AI systems Stay current with emerging technologies and assess their applicability to insurance and reinsurance business problems Build and foster relationships with business leaders and clients to understand their needs and become a trusted partner in AI innovation About the Team The Data Science & AI (DS & AI) department is part of the Group Data Services. The DS & AI department implements Swiss Re's Technology Strategy and supports its business functions in generating insights and creating data-driven products & solutions, working with both internal business partners and directly with external insurance and corporate clients. About You You're an innovative problem-solver who thrives in collaborative environments and is passionate about applying cutting-edge AI technologies to solve real-world business challenges. You combine technical expertise with strong communication skills, allowing you to translate complex technical concepts for diverse audiences and build strong relationships with stakeholders. We are looking for candidates who meet these requirements: Advanced degree in computer science, artificial intelligence, machine learning, engineering, or related quantitative field 3-5 years of hands-on experience developing and deploying AI/ML solutions in a corporate or production environment Strong expertise in modern AI techniques: Prompt engineering and optimization for LLMs Retrieval-Augmented Generation (RAG) architectures ,vector databases and embedding models Conceptual Knowhow of Fine-tuning and adaptation of foundation models AI agents and orchestration frameworks Proficiency in Python with strong software engineering practices (version control, testing, CI/CD, code reviews) Understanding of MLOps tools and practices (MLflow, Weights & Biases, etc.) SQL and data manipulation skills. PySpark is a plus. Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers) and cloud platforms (Azure, AWS, or GCP) Nice to have Experience with Palantir ecosystem Specific experience in the insurance industry For Switzerland, the base salary range for this position is between CHF 106,000 and CHF 158,000 (for a full-time role). The specific salary offered considers: the requirements, scope, complexity and responsibilities of the role, the applicant's 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. Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week. About Swiss Re Swiss Re is one of the world’s 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 15,000 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. Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled. During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed. 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. .swissre_footer { position: relative; margin-top: -50px; height: 30px; clear: both; margin-bottom: 20px; background: #EEE none repeat scroll 0% 0%; line-height: 30px; padding: 0px 10px; color: #AAA; font-family: "Arial,Helvetica,sans-serif"; } .swissre_jobtemplate { width: 970px; max-width: 100%; height: auto; } .jobDisplay .job { font-family: "Arial" !important; font-size: 12px !important; } .joqReqDescription { max-width: 100%; height: auto; align: center; } .joqReqDescription ul { width: 787px; max-width: 100%; } .joqReqDescription p { width: 827px; max-width: 100%; } Keywords: [[cust_keywords]] Reference Code: [[id]]
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.