AI Outcome Customer Engineer, Google Cloud (Thai)

Google; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Google LLC in Singapore seeks an AI Outcome Customer Engineer to bridge pre-sales and post-sales delivery, architecting how AI assets integrate into client ecosystems with connectors, identity, and data residency considerations. You will work with the Forward Deployed Engineering organization to ensure adoption and rapid activation at scale.

You’ll collaborate with DeepMind and Vertex AI experts to translate customer needs into reliable, enterprise-grade solutions while guiding technical

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 7 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with technical delivery strategies and interfacing with product or engineering organizations.
• Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
• Ability to communicate in Thai fluently, to support client relationship management in this region.

Responsibilities

• Partner with Account teams and Customer Engineer during technical evaluation phases to assess project feasibility and shape long-term adoption.
• Lead upfront technical design for enterprise AI solutions, ensuring secure integration into customer data pipelines and identity providers.
• Diagnose and resolve complex customer implementation issues and test workarounds to remove blockers.
• Serve as liaison to Product and Engineering teams, translating field feedback into actionable feature requests.
• Steer implementation strategy with technical authority while owning delivery with customer-facing teams.

Skills

Cloud native architecture (7 years)

Delivery strategies

Interfaces with product/engineering

Enterprise integrations (APIs, ECMs,身份

AI/ML model deployments

Thai language communication

Education

Bachelor’s degree or equivalent practical experience

Job description

Preferred qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 7 years of experience with cloud native architecture in a customer-facing or support role.
  
• Experience with technical delivery strategies and interfacing with product or engineering organizations.
  
• Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
  
• Ability to communicate in Thai fluently, to support client relationship management in this region.

About the job

As an AI Outcome Customer Engineer, you work as an enterprise architect, technical debugger, engineering liaison and technical delivery manager. 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 AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. Aligned with our Forward Deployed Engineering (FDE) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).It’s an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google’s brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world’s most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind’s engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

About the job

As an AI Outcome Customer Engineer, you work as an enterprise architect, technical debugger, engineering liaison and technical delivery manager. 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 AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. Aligned with our Forward Deployed Engineering (FDE) organization, you will architect how these technical assets actually integrate into the customer’s IT ecosystem (connectors, identity, data residency, legal constraints).It’s an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google’s brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world’s most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind’s engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

Responsibilities

• Partner with Account teams and 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.