Senior AI R Developer (d/f/m)

Gen Re WorkFromHome

Stellenbeschreibung:

Gen Re Cologne, North Rhine-Westphalia, Germany

Join or sign in to find your next job

Join to apply for the Senior AI R Developer (d/f/m) role at Gen Re

General Re Corporation, a subsidiary of Berkshire Hathaway Inc., is a holding company for global reinsurance and related operations with more than 2,000 employees worldwide. It owns General Reinsurance Corporation and General Reinsurance AG, which conducts business as Gen Re. Gen Re delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries through a network of 37 offices and holds superior financial strength ratings. We value diversity, equality and inclusion and promote a culture that supports professional and personal growth.

About the Role

Join Gen Re’s Life/Health R&D AI development team as a Senior AI R Developer (d/f/m) based in our Cologne office starting as soon as possible. You will build and maintain AI‑powered applications that solve real business problems. You will develop R packages, Shiny applications, and data pipelines that incorporate machine learning and LLMs into daily workflows. Be at the front of innovation in reinsurance.

What You Do

Process Innovation & AI Implementation

Build, maintain, and own the whole chain of internal and external AI solutions
Analyze the full insurance value chain and its workflows to identify efficiency gains and create and deploy seamless AI solutions

Technical Development & Delivery

Build and maintain production‑grade R packages, APIs, and Shiny applications that deliver value for the business
Develop robust solutions and pipelines to seamlessly integrate AI capabilities into internal systems and client‑facing platforms
Ensure scalability and reliability through modern DevOps practices including CI/CD automation
Partner with cross‑functional teams across the organization to deliver solutions that solve real business challenges across the globe
Understand the business needs and translate it into viable solutions
Translate technical capabilities into tangible business value through user‑centric design and implementation

What You Bring

Required Experience

5+ years in R programming, data science or software development with a track record of delivering production solutions
Deep expertise in the R ecosystem, including advanced package development, API development and Shiny application architecture
Proven experience implementing machine learning models in production environments
Working knowledge of LLM technologies and frameworks (OpenAI, Hugging Face or similar)
Proficiency with modern DevOps mechanics: Git version control, CI/CD pipelines, unit tests, etc.

Who Thrives in This Role

Problem solvers who see inefficiency as opportunity
Pragmatic builders who balance innovation with reliability
Communicators who can translate complex technical concepts for diverse audiences
Self‑stars passionate about automation and continuous improvement

Language Requirements

German language skill is a plus

Why This Role Matters

You will be working at the intersection of insurance expertise and cutting‑edge AI technology, where your work directly impacts how Gen Re serves internal and external clients and manages risk. This is an opportunity to shape the future of life and health insurance while working with a global leader in the reinsurance industry.

We Offer You

An international and highly professional working environment in a central location in Cologne
A pleasant working environment with flat hierarchies and a friendly and cooperative corporate culture
Home office within the framework of our company agreement on mobile working
Attractive benefits, e.g. company pension scheme, Deutschland‑Ticket for public transport, Corporate Benefits Program, jobbike, underground parking, daycare facility for children, canteen and in‑house sports activities

Does This Sound Exciting?

If you want to shape your future with us, we look forward to receiving your complete application including your salary expectations and the earliest starting date.