Artificial Intelligence Researcher

🏢 Shifttechnology · 📍 France - Remote · 💼 remote

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Position Summary & Responsibilities

Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Learn more at www.shift-technology.com

The team

The Research team plays a key role in Shift’s strategy, developing AI technologies used by insurers and their clients worldwide. We design, evaluate, and industrialize cutting-edge AI systems, with a strong focus on Generative AI and agentic architectures.
We tackle complex real-world insurance challenges such as fraud detection, liability analysis, subrogation opportunity detection, and decision support across highly heterogeneous and unstructured data including documents, free text, images, and structured claim data.
Our ambition is to build reliable, production-grade AI systems that can reason over evidence, using tools and skills, and operate safely within critical business workflows.
As an Artificial Intelligence Researcher, you will join the “Agentic Claims” squad dedicated to developing claim handling agents. These systems support claim handlers by automating tasks and processes,

🎯 Candidate Preparation Guide For Shifttechnology Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Enterprise SaaS scaling ability, deep machine learning application in fraud/claims, and high-velocity B2B execution.

📋 Preparation Priorities (Key Areas to Clarify):

1. Treating insurance domain knowledge as an afterthought rather than a critical operational pillar
2. Proposing complex AI solutions that lack explainability or regulatory compliance for insurers
3. Failing to demonstrate cross-functional collaboration between product, data science, and enterprise sales

✨ Recommended Role Alignment Hook:

I build and scale enterprise AI solutions that solve high-stakes fraud and claims problems, turning complex data science into undeniable ROI for insurers.

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