As a Senior AI Engineer, you'll work with a global team of engineering and product teams to implement state-of-the-art AI-enabled digital solutions transforming P&C insurance globally. This position spans three core disciplines: applied AI/ML, production AI/LLM systems engineering, and agentic AI systems offering the opportunity to work across the full AI product lifecycle from model development to production deployment.
Major Responsibilities
Work closely with AI engineers and product teams to design, build, and deploy ML/AI solutions solving complex business challenges in cloud environments (CPU & GPU)
Research & implement state-of-the-art LLM techniques including post-training (e.g., SFT, GRPO, RLHF), prompt engineering, and evaluation frameworks
Build production AI services including middleware, prompt management layers, inference pipelines, LLM-Ops tooling, and async messaging systems (e.g., Kafka) for model integration into applications
Design and develop agentic AI systems end-to-end from orchestration frameworks (LangChain, CrewAI, AutoGen) to memory/data layers, tool integrations, and multi-agent workflows
Implement observability, monitoring, and evaluation for production AI systems including prompt tracing, agent behavior analysis, and performance metrics
Build reusable pipelines, processes, and tools to streamline AI/ML workflows from development to production
Ensure high-quality, maintainable code that meets business objectives, quality standards, and development guidelines
Manage stakeholder expectations and communications while adapting to shifting priorities
Minimum Requirements
Must Have:
5+ years' experience in Machine Learning/AI Engineering/Software Engineering/Data Science with deep expertise in production Python development
Strong knowledge of ML frameworks and libraries (Transformers, trl, PyTorch, LangChain, LlamaIndex, or similar)
Experience building distributed, high-throughput, low-latency systems
Experience with containerization and orchestration technologies (Kubernetes, Docker)
Strong Preference Given To:
Experience with the full LLM lifecycle: dataset curation, pos-training, evaluation, data labelling and management, and deployment
Production AI systems experience: building APIs, middleware, prompt management, inference optimization, or LLM-Ops infrastructure
Agentic AI development: building autonomous agents, multi-agent systems, memory/state management, tool use, or agent evaluation frameworks
Experience with observability/monitoring tools for AI systems (LangSmith, Weights & Biases, custom tracing solutions)
Understanding of system architecture design and technical feasibility tradeoffs
Full-stack development experience integrating AI into user-facing applications
P&C insurance domain knowledge
This job posting is for an existing vacancy: the approximate salary for this role is positioned within the range of $130,000 to $160,000. The specific offer will depend on an applicant’s skills and other factors, including prior experience, qualifications, anticipated contribution to the role, location, and internal equity. The Company reserves the right to fill this position at a level above or below the level indicated.
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.
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