AVP, Lead AI Engineer

Chubb • Toronto, ON

65d

About The Position

Chubb is seeking an exceptional AVP, Lead AI Engineer with a passion for
hands-on technical leadership and large-scale delivery of production Large
Language Model (LLM) systems. This role is built for leaders who thrive on
architecting, building, and deploying high-impact AI solutions that power
enterprise transformation. We’re looking for an AVP, Lead AI Engineer who is
still hands-on with code, obsessed with end-to-end performance, and eager to
unify multiple products around a single, enterprise-grade LLM core.

As an AVP, Lead AI Engineer, you will:

Scale program impact: Design headless service layers that exposes a common
set of LLM capabilities to change core insurance processes.

Code & own: Spend significant time writing and reviewing code while leading
4-8 outstanding engineers. Set engineering standards, architect robust
solutions, own codebases, and performant services.

Full-stack impact: Your APIs, SDKs, and LLM inferences will drive real-time
UX features seen by thousands of Chubb users daily.

Modern stack, real constraints: Leverage the latest in prompt engineering,
post-training, and inference acceleration while meeting latency, quality, and
uptime SLAs.

Executive support, global scale: You’ll ship quickly with clear sponsorship,
abundant compute, and a mandate to make insurance smarter worldwide.

Responsibilities

• Write and review production-grade Python plus Docker and Kubernetes for deployments. Build resilient event-stream integrations using Kafka for service communication.
• Employ advanced LLM deployment frameworks (vLLM, Triton, or DeepSpeed-Inference) to optimize serving latency, throughput, and cost efficiency.
• Instrument your services end to end and enforce SLOs for latency, error rate, and availability.
• Ship iteratively every sprint, own engineering planning and delivery, and track impact via clear KPIs and OKRs.
• Coach team members on design reviews, code quality, and engineering excellence; cultivate a culture rooted in ownership and continuous improvement.
• Work closely with Engineering stakeholders and team for front-end and DevOps to ensure seamless hand-offs from model output to user interface.
• Represent LLM system architecture and risk trade-offs to engineering leaders, senior executives, and non-technical stakeholders with clarity and confidence.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed