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Who we are
Looking for a career that will excite,challengeand inspire you Thinking about insurancePerhaps youshould. Working for us is a totallydifferent experiencetowhat youprobably expect. How do you feel about the things youtruly love Don't you want to protect them in the best way possible Imagine if you could help people do this all over the world.You'dgive them confidence and reassurance by protecting what they love most. This isnoeasytask. In today's interconnected world, tackling risk is fast,unpredictableand invigorating.You'llhave to think on your feet as you manage risks big and small, from flooding tocyber-crime.You'llbe tackling issues like these in over 170 countries.It'sa big challenge, butyou'llhave a truly diverse network helping you. As part of an international team, every day would provide opportunities to learn,growand share ideas.
As you make an impact across borders,you'llfeel the support of being part of a strong and stable company.A long-standing player in the insurance industry, we make every effort to address the career development needs and plans of our employees to ensure their success in the future.
Somake a difference. Be challenged. Be inspired. Be supported, Love what you do. Work for us.
Zurich Insurance has the policy to be an equal opportunity employer. We aim to attract andretainthe best qualified individuals available, without regard to criteria such as race/ethnicity, national origin, religion, gender, sexual orientation,ageor disability.
At Zurich we believe that having a culture of inclusion is essential in deliveringgood results. Attracting,retainingand developing a diverse workforce where employees feel valued,respectedand empowered allows people to reach their full potential. As abusinessthis diversity helps us to better reflect and understand our4 million customers needs to allow us to drive better outcomes. As a globalorganisation, with an increasingly agile workforce,we'rehappy to consider flexible working arrangements.
Our opportunity
We are building the nextgeneration Generative AI platformsolutionthat will power multiple business lines and connect to upstream and downstream systems.
Your role
As our Data Engineer you will own the endtoend design and delivery of this platform-architecting, coding, shipping, and scaling it in production in coordination with our Data Scientists. This is a handson leadership role: we are looking for builders, not slidemakers.
Architecture & Design
Shape the overall data & GenAI architecture (batch / streaming pipelines, vector stores, feature stores, LLMOps tooling, API layer).
Select frameworks, storage engines, orchestration tools, and security patterns that will stand the test of scale and time.
Handson Engineering
Write productiongrade code
Build ingestion pipelines, retrievalaugmentedgeneration (RAG) services, microservices, and CI/CD workflows.
Conduct code reviews, performance tuning, and zerodowntime releases.
Run andmonitorlargescale AI workloads in the cloud (Azure / AWS).
Delivery Leadership
Lead multicomponent projects
Break down epics, estimate effort, and remove blockers for the squad.
Report progress and tradeoffs directly to senior business & tech stakeholders.
Mentoring & Culture
Coach engineers on best practices in data engineering, DevOps, and LLMOps
Foster a getstuffdone culture-passion, autonomy, accountability.
Your Skills and Experience
As a Data Engineer your skills and qualifications will ideally include:
8+ years building data platforms or largescale distributed systems, with at least 3 years in cloudnative AI / ML workloads.
Strong experiencein Python
Proven delivery of GenAI / LLM products in production: RAG pipelines, vector databases (Pinecone, Milvus, FAISS, etc.),LangChain/LlamaIndex/LangChainor equivalent, prompt orchestration, finetuning, and model monitoring.
Mastery of modern data tooling: SQL & NoSQL stores,Docker ,Terraform, GitHub Actions/Azure DevOps.
Strong grasp of data governance, security, and privacy for regulated industries (insurance / financial services a plus).
Design and implement systems for managing agent long- and short-term memory, including structured logging of interactions and collection of user feedback, to support continuous learning and performance improvement using technologies such as Azure Redis or PostgreSQL
Develop and enforce app and user-level authorization and authentication mechanisms for agent APIs to ensure secure data access and prevent unauthorized exposure across business units.
Track recordof sticky retention-you build, iterate, and scale products over several years
Experience with AI Agents Observability & Performance Monitoring: reporting on key performance metrics tomaintainreliability andoptimizeoutcomes.
Excellent communication skills able to translate architectural tradeoffs to both engineers and executives.
Experience with Model Context Protocol (MCP) workflows, standardization of AI-driven tool calling and workflows.
RCIS provides crop insurance to producers, helping them manage risk, plus outstanding customer service to crop insurance agents and policyholders.
Job ID: 140913537
