Senior AI Engineer
Zurich Insurance
full-time
Posted on:
Location Type: Office
Location: Cracow • Poland
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Job Level
About the role
- Solve high impact business problems with a particular focus on Underwriting, for example: understanding claims drivers, portfolio optimization or improving our risk selection
- Learn how Commercial Insurance works at its core, including dedicated training
- Be part of a fast-paced entrepreneurially minded global team, which is daring to challenge the status quo
- Developing and driving adoption of our main global Underwriting analytical product suite
- Excelling on your technical skills by working with internal and external experts
- 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
Requirements
- Technically strong: Has professional experience across data science and data engineering (shipping production grade analytics/AI applications)
- Hands-on experience building LLM applications (e.g., prompt design, retrieval-augmented generation, embeddings, vector stores, evaluation & guardrails, cost/performance tuning) and willingness to engineer the full stack to get them into production
- Familiarity with agentic patterns (tool use, planning, function calling, document workflows) and LLM orchestration frameworks
- Solid statistical foundations (e.g. regression, time series, uncertainty estimation)
- Any Dataframe API (like Spark or Pandas) and SQL Query optimizations (RDBMS or Spark) and indexing
- Strong Python (production-grade). Java and/or Scala are a plus; functional programming experience is a plus
- Knowledge of scripting languages, such as Python, R, bash
- Experience working on all stages of the software development lifecycle
- Can-do attitude, with a clear focus on the end-product and user experience and the specific business use case
- Passion to tackle real business problems and persistence to follow through with your recommendations
- Good team player and communicator
- Excellent written and spoken English, other European languages are a plus.
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencedata engineeringLLM applicationsprompt designretrieval-augmented generationembeddingsSQL Query optimizationsPythonSparkstatistical foundations
Soft Skills
can-do attitudefocus on end-productuser experienceteam playercommunicationmentoringpersistenceproblem-solvingcollaborationadaptability