Forward Deployed Engineering Manager, GenAI, (Mandarin, English)

• Serve as the ultimate technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
• Partner with business and tech leadership to define requirements for high-value opportunities, deploying specialized experts (e.g., Machine Learning Operations (MLOps), GenMedia, or Agentic systems) to key accounts.
• Lead technical hiring for forward deployed engineering, evaluating Artificial Intelligence/Machine Learning (AI/ML) expertise, systems engineering, and coding skills to build an engineering squad.
• Identify skill gaps in emerging tech (e.g., Model Context Protocol (MCP), tool-calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
• Collaborate with product and engineering to resolve blockers and translate field insights into road maps, building internal tools to drive organizational efficiency.

Minimum qualifications:

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 8 years of experience in cloud computing or a technical customer-facing role.
• 2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.
• Experience developing AI/Generative AI (GenAI) solutions utilizing AI tools and designing multi-agent workflows and Retrieval-Augmented Generation (RAG) systems.
• Experience leading AI solutions from conception to launch for customers and technical discovery sessions with China-go-Global customers.
• Ability to communicate in Mandarin and English fluently to conduct necessary business interaction with China-go-Global clients.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
• Experience in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
• Ability to perform deep ‘discovery’ interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.
• Ability to design secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 8 years of experience in cloud computing or a technical customer-facing role.
• 2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.
• Experience developing AI/Generative AI (GenAI) solutions utilizing AI tools and designing multi-agent workflows and Retrieval-Augmented Generation (RAG) systems.
• Experience leading AI solutions from conception to launch for customers and technical discovery sessions with China-go-Global customers.
• Ability to communicate in Mandarin and English fluently to conduct necessary business interaction with China-go-Global clients.