AI Senior Engineer

Working on high impact projects with end-to-end responsibility for their success
Evaluating and applying the right cloud and foundation model capabilities (e.g., Azure OpenAI and open-source models) to solve specific business problems, including RAG, tool-use/agents, and orchestration
Generating insights from internal and external data sources, using a wide range of tools and methodologies, e.g., from building robust big data pipelines in Spark/Databricks to applying LLMs, retrieval, embeddings, and classical ML/statistics, and extending our front-end applications
Building applications loved by internal and external users: from implementing proof of concepts to full-scale solutions; from portfolio management applications used by senior Zurich executives to API services embedded into the core Underwriting processes
Making sure our platform expands and runs reliably in Production: build or help build AI models, add new and further optimize existing data pipelines, expand our automation architecture (e.g., web scrapers, automated user alerts)
Coordinating directly with product managers and application users globally (with particular focus on adoption)
Mentoring and developing more junior team members on all matters above

Experience with cloud-based technology and solution design: e.g., experience with Microsoft Azure Products, Databricks, Kubernetes, Docker
Front-end development experience is a strong plus
Experience in designing, running, and expanding AI models (in particular, text classification, entity extraction, clustering & topic modeling) in production; with a main focus on Natural Language processing
Experience with web scraping, e.g., Selenium/Playwright

Real life opportunities to develop and grow with us and contribute to the world around us
Competitive salaries, language allowance and an employee benefits package that includes among others medical insurance, life insurance and sport-card
Annual bonus depending on company annual results and individual performance
Wide range of learning programs and personal development opportunities including also possibility to apply for up to 80% of educational trainings reimbursement
Referral awards
Online fitness trainings
Hybrid work
Nice and friendly atmosphere

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