AI - Technical Lead

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll 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, you'll 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 end‑to‑end 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 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.

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

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 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

• Job Category: IT - Technology Services Posting End Date: 29/09/2026