Head of AI Engineering

Chubb European Group Ltd.; Hong Kong; Sur place; HKD 1 000 000 - 1 800 000; Plein temps

Résumé du poste

Chubb Life seeks a senior AI engineering leader to own the AI platform globally across 8 Asian markets, delivering production AI solutions and setting engineering standards.

You will manage GPU infrastructure and LLM services, drive end-to-end AI product delivery, and coach a team of AI engineers while aligning with Analytics.

This role defines guardrails, modern AI practices, and scalable adoption across business units.

Qualifications

• 12-15+ years in software or AI/ML engineering.
• 4+ years leading AI/ML teams at scale.
• Hands-on in LLM/GenAI engineering: prompt pipelines, RAG architectures, agentic frameworks, fine-tuning workflows.
• Experience with GPU infrastructure, model serving platforms, and LLMOps tooling.
• Strong command of Azure, Azure OpenAI, Databricks, and cloud-native AI services.
• Track record of shipping production AI applications in regulated industries.
• Strong engineering leadership, sets direction, builds culture, and coaches without micromanaging.
• Bachelor’s or master’s in CS/Engineering or related technical field.

Responsabilités

• Lead AI engineering function globally, owning the AI platform and standards.
• Own AI Platform and Infrastructure, including GPU compute and LLMs.
• Build and operate LLMOps/MLOps pipelines for deployment, versioning, monitoring, and rollback.
• Govern platform reliability, security, and cost efficiency across Azure and GPU workloads.
• Own end-to-end engineering delivery of Chubb Life's AI applications.
• Translate model specs into production-grade applications and AI products.
• Define hiring profiles, team structure, and career pathways.
• Lead coordination with Analytics and stakeholders to scope and deliver initiatives.
• Define handoff protocols and ensure production packaging of validated artifacts.

Connaissances

LLM GenAI

AI team leadership

Azure OpenAI

GPU infrastructure

MLOps CI/CD

Formation

Bachelor’s or Master’s in CS/Engineering

Outils

Databricks

Azure OpenAI

Claude/Anthropic tooling

Description du poste

Lead Chubb Life's AI engineering function globally - owning the AI platform, delivering production AI solutions, and setting engineering standards across 8 Asian markets. This role spans GPU infrastructure and LLM services through to end-to-end AI application delivery.

Responsibilities

AI Platform and Infrastructure

Owns designing, provisioning, integration & GPU compute, LLMs (Azure OpenAI, Anthropic/Claude), vector databases, model registries, and AI developer tooling (Claude Code, GitHub Copilot).

Build and operate LLMOps/MLOps pipelines covering deployment, versioning, monitoring, and rollback for both generative and traditional ML models.

Govern platform reliability, security, and cost efficiency across Azure, Databricks, and GPU workloads.

AI Solution Delivery

Own end-to-end engineering delivery of Chubb Life's AI applications - including the Smart Agency AI suite (Talent Scout, Sales Pitch Advisor, Personal Admin, Elite Coach, Customer Steward, Career Mentor) and all future AI products.

Translate model specifications and use case designs from Analytics into production-grade applications: agentic systems, RAG pipelines, scoring APIs, and cognitive assistants.

Apply engineering best practices: CI/CD, observability, testing, and security by design.

Engineering Standards and Enablement

Define and govern AI engineering standards, architectural patterns, and responsible AI guardrails across Chubb Life globally.

Drive adoption of modern AI engineering practices: agentic frameworks, RAG architectures, prompt pipelines, and multi-modal AI.

Enable business teams and developers to use AI tools safely and at scale.

Lead and coach a team of AI engineers - setting technical direction, reviewing designs, and elevating team craft.

Define hiring profiles, team structure, and career pathways for the AI engineering function.

Establish clear handoff protocols with the Head of Analytics: receive validated model artifacts and use case specifications; own packaging through to production.

Stakeholder and Delivery Management

Partner with business sponsors and Analytics to scope, prioritise, and deliver high-impact AI initiatives.

Communicate engineering decisions, risks, and trade-offs to senior stakeholders in clear business terms.

Track and report on delivery velocity, platform reliability, and the business impact of AI engineering initiatives.

Qualifications

12-15+ years in software or AI/ML engineering; 4+ years leading AI/ML teams at scale.

Hands-on expertise in LLM/GenAI engineering: prompt pipelines, RAG architectures, agentic frameworks, and fine-tuning workflows.

Experience with GPU infrastructure, model serving platforms, and LLMOps tooling.

Strong command of Azure, Azure OpenAI, Databricks, and cloud-native AI services.

Track record of shipping production AI applications in regulated industries (insurance or financial services preferred).

Strong engineering leadership, sets direction, builds culture, and coaches without micromanaging.

Bachelor's or master’s in computer science, Engineering, or a related technical field.

Job Info

• Job Identification 38144
• Job Schedule Full time
• Regular or Temporary Regular
• Job Category Analytics Engineering
• Business Unit Hong Kong
• Legal Employer Chubb Life Asia Services Limited