AI Technical Lead

You are as unique as your background experience and point of view. Here youll be encouraged empowered and challenged to be your best self. Youll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day youll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals families and communities around the world.

Job Description:

The AI Tech Lead provides expert technical leadership to design build and operationalize AI solutions that drive measurable business value. The role owns endtoend delivery of AI initiatives and ensures seamless coordination between product engineering and cross-functional teams.

Key responsibilities

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

• Own endtoend deliveryfrom 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.
  

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 asDocker 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 withAI/MLOps practices in enterprise environments

• Proficiency in both spoken and written English and Chinese
  

Responsibilities

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.

• 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 lifecyclediscovery 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

Job Category:

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