AVP, Lead AI Engineer

Chubb•Toronto, ON

About The Position

Drive AI engineering workstreams across the Audit+ program, ensuring compliance of UW and Claims processing, automation of controls, as well as driving cost reduction. This role will work closely with regional teams to identify and build production grade foundational capabilities, platform those capabilities to enable rapid operationalization and scale out of Audit+ AI capabilities. The primary focus is on end-to-end automation of controls across Claims, UW, Finance and Technology.

Requirements

Experience in AI engineering
Experience with Audit+ program
Experience with UW and Claims processing
Experience with automation of controls
Experience driving cost reduction
Experience building production-grade foundational capabilities
Experience with platforming capabilities for operationalization and scaling
Experience with end-to-end automation of controls across Claims, UW, Finance and Technology
Experience developing AI driven platforms and AI assets
Experience with Agentic framework
Experience building scalable pipelines for data ingestion, feature engineering, model training, evaluation, and monitoring
Experience developing and integrating generative AI applications, including LLM-based workflows, agents, and retrieval-augmented generation (RAG) solutions
Experience ensuring solutions meet security, privacy, compliance, and responsible AI standards
Experience optimizing model performance, reliability, latency, and cost across the AI lifecycle
Experience with AI enablement for human-lead operations in areas like QA, Training | Operations
Experience introducing efficiencies in distribution workflows
Experience enabling sales analytics | marketing with a foundational layer of AI with Consumer LLM
Experience driving implementation and change management
Experience collaborating with regional D&A leads, business and technology partners
Experience working with platform engineering teams to develop reusable Foundational AI Assets | Applications
Experience supporting Business Development by evangelizing AI success stories
Experience enabling regional and local teams to leverage Global Consumer+ platforms
Experience working closely with regional Data & Analytics teams
Experience collaborating with Regional IT, GDO, Global Analytics, Ops for data | infra | integration
Experience collaborating with teams to enforce responsible AI, model risk management, and AI governance

Responsibilities

Develop the next generation of AI driven Audit+ platforms and AI assets, including Agentic framework
Build scalable pipelines for data ingestion, feature engineering, model training, evaluation, and monitoring
Develop and integrate generative AI applications, including LLM-based workflows, agents, and retrieval-augmented generation (RAG) solutions
Ensure solutions meet security, privacy, compliance, and responsible AI standards
Optimize model performance, reliability, latency, and cost across the AI lifecycle
Platform capabilities for extending AI enablement to human-lead operations in areas like QA, Training | Operations for faster and efficient production and introduce efficiencies in distribution workflows
Enable sales analytics | marketing with a foundational layer of AI with Consumer LLM as needed
Drive implementation and change management in collaboration with regional D&A leads, business and technology partners
Work with the Consumer+ Platform Engineering team to develop reusable Foundational AI Assets | Applications to accelerate local deployments
Support Business Development by evangelizing our AI success stories to stakeholders and sponsors as needed
Enable the regional and local teams to leverage Global Consumer+ platforms and be self-sufficient
Work closely with regional Data & Analytics teams to identify opportunities and assist in implementation
Collaborate with Regional IT, GDO, Global Analytics, Ops for data | infra | integration related to implementation
Collaborate with teams to enforce responsible AI, model risk management, and AI governance