Generative AI Delivery Lead

Key Responsibilities

Technical Leadership

• Lead architecture and code reviews for Generative AI and full-stack solutions to ensure scalability, security, and performance.

• Review and audit vendor-developed Generative AI solutions for architecture feasibility, code quality, scalability, and security.

• Define and enforce Responsible and Ethical Generative AI practices, including prompt engineering standards and testing frameworks.

• Conduct solution- and code-level architecture reviews for existing and new Generative AI solutions.

• Contribute to global and regional engineering standards, tools, and frameworks related to Generative AI and full-stack engineering.

• Establish Generative AI-specific quality assurance processes and report QA metrics to business and technical stakeholders.

Product Engineering & Delivery

• Act as a Generative AI Coach, advocating Responsible and Ethical Generative AI design across regional product teams.

• Mentor and train cross-functional teams on Generative AI practices, including prompt engineering and risk mitigation strategies.

• Influence vendor selection strategies to ensure suitable Generative AI platforms and technology partners are adopted.

• Own end-to-end solution delivery, ensuring timely, high-quality outcomes with appropriate risk mitigation plans.

• Stay current with emerging trends in AI/ML and full-stack development and apply insights to continuously improve engineering practices.

Requirements

Education

• Bachelor's degree or higher in Computer Science, Data Science, Information Systems, Information Technology, or related fields.

• Formal training, coursework, or specialization in AI/ML or Data Science is an advantage.

Experience & Technical Skills

• Demonstrated software engineering experience with hands-on delivery of Generative AI solutions.

• Experience using LLM APIs, conducting prompt engineering, and supporting LLM operations.

• Proficiency in JavaScript, TypeScript, or Python.

• Experience with LLM frameworks such as LangChain, LangGraph, or equivalent.

• Familiarity with DevOps practices, including Git-based workflows, CI/CD pipelines, and code reviews.

• Proven ability to lead engineering initiatives and collaborate effectively with cross-functional stakeholders.

• Experience mentoring, coaching, and guiding technology professionals.
  
  Proficiency in English is required.

• Mandarin is required to support business communication with Mandarin-speaking stakeholders, regional teams, and technology vendors across APAC.

• Additional language skills such as Japanese or Korean are advantageous but not mandatory.

Preferred Qualifications

• Cloud certifications (e.g. AWS, Azure).

• Agile or Scrum certifications (e.g. CSM, PSM).