AI Outcome Customer Engineer

Google; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Google Cloud Platform seeks an AI Outcome Customer Engineer, Forward Deployed Engineering, to act as an enterprise architect, technical debugger, and engineering liaison. You will bridge pre-sales and post-sales, shaping solutions around adoption, rapid activation, and viable delivery.

You will chart the technical delivery strategy, design, and integration across connectors, identity, and data residency, collaborating with product and engineering to meet customer needs.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience leading technical delivery strategies, debugging systems, interfacing with product/engineering organizations, system design and orchestration frameworks.
• Experience with enterprise integrations (e.g., APIs, Enterprise Content Management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
• Ability to communicate in Mandarin fluently.

Responsibilities

• Partner with account teams and practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.

Skills

Technical troubleshooting

Delivery strategy

System design

Enterprise integrations

Mandarin fluency

Education

Bachelor's degree or equivalent practical experience

Tools

APIs

ECMs

Identity

Cloud infrastructure

AI/ML deployments

Job description

• Bachelor's degree or equivalent practical experience.
• 5 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience leading technical delivery strategies, debugging systems, interfacing with product/engineering organizations, system design and orchestration frameworks.
• Experience with enterprise integrations (e.g., APIs, Enterprise Content Management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
• Ability to communicate in Mandarin fluently.
  

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience troubleshooting technical issues for internal/external partners or customers.
• Experience leading technical delivery strategies, debugging systems, interfacing with product/engineering organizations, system design and orchestration frameworks.
• Experience with enterprise integrations (e.g., APIs, Enterprise Content Management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
• Ability to communicate in Mandarin fluently.
  

Preferred qualifications

• Experience orchestrating specialized technical resources to execute complex builds.
• Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
• Ability to dive deep into novel technical problems, decipher extreme ambiguity, diagnose bugs, and emerge with credible architectural solutions.
• Excellent executive communication skills, capable of translating deep technical integration issues into business impact.
  

About The Job

The Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As an AI Outcome Customer Engineer, Forward Deployed Engineering (FDE), you will be responsible as an enterprise architect, technical debugger, and engineering liaison. You will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle during the technical evaluation phase for strategic accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery.

You will be the overarching Enterprise Architect and Technical Delivery Manager charting the course. You will also be responsible for technical design, systemic debugging, product and engineering integration, and strategic FDE alignment. You will architect how these technical marvels actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints) and drive the technical delivery strategy from start to finish.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Partner with account teams and practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
• Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
• Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
• Serve as the definitive liaison to core product and engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
• Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.