AVP, Lead AI Engineer
Chubb Open · verified Oct 22, 2026 At a glance
Senior AI Engineering role at Chubb. Toronto · full-time · no salary stated · we estimate CA$128,600–CA$190,175.
Chubb has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build Audit+ AI platforms and assets, including agent-based systems, for controls across claims, underwriting, finance and technology
- Create production pipelines that move data through feature creation, model training, testing and ongoing monitoring
- Develop LLM workflows, agents and retrieval-based applications, then connect them to products and operations
- Improve model speed, reliability and cost while meeting security, privacy, compliance and responsible AI standards
- Work with regional teams to deploy reusable AI capabilities, manage change and help local teams use global platforms
What you bring
- You code confidently in Python and at least one of TypeScript, Go or Java, with disciplined review and design practices
- You have built and operated scalable services using Docker or Kubernetes and automated delivery pipelines
- You bring hands-on experience with LLM methods, including retrieval-augmented generation, fine-tuning and agent frameworks
- You understand responsible AI, model risk and governance, plus compliance needs in audit, underwriting or claims work
- You can architect systems while coding and explain technical choices and AI risks to executives and engineering teams
Who this fits
This senior, hands-on engineering role suits someone who can lead architecture and implementation while working with regional analytics, IT and operations teams. The position is based in Toronto, Canada.
From the employer
OVERVIEW
Drive AI engineering workstreams across the Audit+ program, ensuring compliance of UW and Claims processing, automation of controls, as well as driving cost reduction.
ROLE
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.
FOCUS AREAS & 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
Operating Network:
• 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
Candidate Profile:
Technical Skills
• Strong hands-on coding ability in Python plus at least one additional language (TypeScript, Go, or Java); disciplined about clean code, design docs, and code review.
• Deep knowledge of modern LLM tooling and techniques: Hugging Face Transformers, prompt engineering, post-training/fine-tuning pipelines, retrieval-augmented generation (RAG), and agentic AI frameworks.
• Experience with inference optimization and high-throughput serving frameworks.
• Proven experience shipping and operating high-scale services on Docker/Kubernetes with CI/CD pipelines (GitHub Actions, Jenkins, or similar).
• Experience with event-stream/service-integration technologies (e.g., Kafka) and building resilient, observable production systems (SLOs for latency, error rate, availability).
• Experience building end-to-end ML pipelines: data ingestion, feature engineering, model training, evaluation, and monitoring.
• Experience integrating AI/LLM services into user-facing products (APIs, SDKs, real-time UX features).
Governance, Risk & Compliance
• Working knowledge of responsible AI practices, model risk management, and AI governance frameworks.
• Experience Ensuring AI solutions meet security, privacy, and regulatory compliance standards, particularly in audit, underwriting, or claims-adjacent contexts.
Leadership & Collaboration
• Ability to architect and own robust, scalable engineering solutions while remaining hands-on with code.
• Experience partnering cross-functionally with regional Data & Analytics teams, IT, GDO/Ops, front-end, and DevOps stakeholders to drive implementation and change management.
• Ability to represent technical architecture, trade-offs, and AI risk to both engineering leaders and non-technical executives with clarity and confidence.
Attributes
• Outstanding written and verbal communication across technical and executive audiences.
• Bias for action and comfort making high-impact decisions under uncertainty.
• Ability to drive KPI/OKR-based delivery in an iterative, sprint-based environment.
Chubb Canada does not use artificial intelligence (AI) tools to assess, screen, or select applicants.
At Chubb we are committed to providing equal employment opportunities to all employees and applicants. It is our policy to provide equal employment opportunities to employees and applicants based on job-related qualifications and ability to perform a job. If you require an accommodation during the hiring process or upon hire, please inform Human Resources. If a selected applicant requests accommodation during the recruitment process, Chubb will consult with the applicant in order to provide suitable accommodation that takes into account the applicant’s accessibility needs.