AI Engineer

Chubb•Toronto, ON

About The Position

We are seeking a highly skilled AI Engineer to lead the design, solutioning, and development of scalable, reusable AI-driven core capabilities for our global Finance Transformation program. This role sits at the intersection of finance, technology, and governance, enabling the development of intelligent, compliant-by-design solutions that support key Finance functions at a global level. You will partner closely with cross-functional teams including Finance, IT, Global Analytics, Legal, Compliance, and Risk to deliver secure, scalable, and regulatory-aligned AI solutions across the enterprise.

Requirements

AI/ML solutions development
Scalable, reusable AI capabilities
Translating business requirements into technical solutions
Alignment with enterprise architecture and data strategy
Adherence to regulatory requirements, data privacy laws, and internal governance frameworks
Developing and deploying models using modern AI/ML frameworks
Model performance, monitoring, and lifecycle management
Automating and optimizing finance processes using AI (e.g., intelligent automation, NLP, predictive analytics)
Technical leadership and mentorship
High quality code development
Building reusable pipelines, processes, and tools for LLM and generative AI workflows
MLOps best practices (CI/CD pipelines, versioning, testing, model governance)
Managing project stakeholder expectations
Communicating progress on issues
Adapting to shifting priorities
Staying current with emerging AI technologies

Responsibilities

Lead the architecture, design, and development of AI/ML solutions at a global level to support finance and controllership processes (e.g., close, reconciliation, reporting, anomaly detection etc).
Build scalable, reusable core AI capabilities that can be leveraged across multiple finance use cases and geographies.
Translate business requirements into robust technical solutions, ensuring alignment with enterprise architecture and data strategy.
Collaborate with Finance, IT, Data & Analytics, Legal, Compliance, Security, Enterprise Architecture and Risk teams to design and implement compliant-by-design AI solutions.
Ensure adherence to regulatory requirements, data privacy laws, and internal governance frameworks.
Develop and deploy models using modern AI/ML frameworks; ensure model performance, monitoring, and lifecycle management.
Identify opportunities to automate and optimize finance processes using AI (e.g., intelligent automation, NLP, predictive analytics).
Provide technical leadership and mentorship to junior engineers and cross-functional teams.
Ensure high quality code that meets business objectives, quality standards and development guidelines.
Building reusable pipelines, processes, and tools to streamline LLM and generative AI workflows while driving adoption of MLOps best practices, including CI/CD pipelines, versioning, testing, and model governance.
Manage project stakeholder expectations and issue communications on progress.
React to shifting priorities without compromising deadlines and momentum.
Stay current with emerging AI technologies and assess their applicability within finance and risk-controlled environments.