Combined Insurance
Lead Engineer, Gen AI
Job Description
The Global Analytics team is seeking a Lead Data Engineer to join our fast-paced, high-energy team responsible for delivering Gen AI based solutions. This position offers the opportunity to leverage the entire spectrum of AI tools towards solving a wide variety of business problems at Chubb using their own insurance industry experience coupled with a deep understanding of cutting-edge AI methods.
Responsibilities
- Design, develop and implement AI solutions leveraging generative AI, LLMs and multi-modal models for building out risk assessment and guided underwriting solutions.
- Build analytical solutions for complex P&C products including financial lines.
- Collaborate with insurance underwriting and claims business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.
- Build data pipelines to create insurance specific risk signals from external data sources.
- Define AI modeling architecture to optimize utilization of expensive computational resources.
- Develop AI Ops processes for efficient development and deployment of models.
- Execute all aspects of AI modeling initiative including data analysis, AI model selection, model development, model evaluation and benefit estimation.
- Research, recommend, and implement AI methodologies appropriate for the given risk assessment problem or analysis.
- Create excellent working relationships with business partners across the Chubb organization including actuarial, underwriting, IT and analytics peer groups towards enabling successful implementation of AI solutions.
- Mentor junior data scientists towards improving their insurance domain knowledge and developing problem solving skills.
- Research new techniques, provide thought leadership and identify opportunities to improve business outcomes through application of AI.
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