# AI Tech Lead

**Company**: Sun Life
**Location**: Hunghom, Kowloon
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Hunghom-Kowloon-Hong-Kong/AI-Technical-Lead_JR00129076?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d036a8ff-d78

## Description

The AI Tech Lead provides expert technical leadership to design, build, and operationalize AI solutions that drive measurable business value.

Responsibilities:

- Lead and give technical direction, and best practices across GenAI and ML solutions.

- Own end-to-end delivery,from design and prototyping to production deployment and optimization.

- Ensure solution quality, security, reliability, and compliance with enterprise standards.

- Collaborate effectively with product owners and application teams to align requirements and manage dependencies.

- Champion technical clarity and communication.

Technical Leadership:

- Defines and enforces technical standards, patterns, and best practices across the AI stack.

- Ensures alignment with enterprise architecture, security policies, and regulatory requirements.

- Serves as the SME (Subject Matter Expert) for AI/ML, GenAI, and supporting technologies within the team.

- Provides hands-on guidance in design reviews and code reviews.

Delivery Ownership (Accountability: End-to-End Delivery & Solution Success):

- Accountable for delivering AI solutions that meet business objectives, not just technical completion.

- Owns the delivery lifecycle,discovery, prototyping, model training/selection, development, integration, testing, deployment, and production.

- Leads backlog technical grooming; estimates complexity, breaks down work, and directs the engineering execution plan.

- Identify potential risks related to technology initiatives and create mitigation strategies.

Knowledge Management:

- Oversee the creation and maintenance of technical documentation.

- Maintain an active knowledge base for digital solutions and AI related material and system documents.

- Gather user feedback for future improvements.

Preferred skills:

- Hands-on experience in Python and Java.

- Familiarity with REST APIs and frameworks such as FastAPI, Flask, or similar technologies.

- Experience with LLM frameworks including LangChain, LangGraph, and n8n.

- Knowledge of databases such as PostgreSQL and Cosmos DB.

- Practical experience with AWS cloud services, especially SageMaker and Bedrock.

- Strong knowledge of containerization and orchestration tools such as Docker, Kubernetes.

Qualifications:

- University graduate, preferably in IT, Computer Science or related disciplines.

- Over 8 years of working experience.

- At least 2 years of relevant experience in AI engineering.

- Practical experience with AI/MLOps practices in enterprise environments.

- Proficiency in both spoken and written English and Chinese.

## Skills

### Required
- GenAI
- ML
- Python
- Java
- REST APIs
- FastAPI
- Flask
- LLM frameworks
- LangChain
- LangGraph
- n8n
- PostgreSQL
- Cosmos DB
- AWS cloud services
- SageMaker
- Bedrock
- Docker
- Kubernetes
- AI/MLOps
- Chinese

### Nice to have
- English

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Source: [Apply at sunlife.wd3.myworkdayjobs.com](https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Hunghom-Kowloon-Hong-Kong/AI-Technical-Lead_JR00129076?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)