AIEngJobs
RoleSuite
CompaniesRemoteAboutMethodologyContactPrivacy
Updated 2026-06-30 13:00 UTC·© 2025–2026 RoleSuite
← Back to listings

Forward Deployed Engineer, GenAI, Google Cloud (Thai)

Google · Singapore

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset, and you will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you will serve a dual purpose providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

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.

Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 1 year of experience with software development using Python or similar coding languages.
  • Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform).
  • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
  • Experience taking production-grade AI-driven solutions from conception to launch for customers.
  • Ability to communicate in Thai fluently to translate technical concepts for non-technical and executive Thai-speaking audiences.

Preferred qualifications:

  • Master’s degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  • Experience leading technical discovery sessions.
  • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

AI Engineering pay context

Based on 575 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $203K/year, with most offers between $164K and $237K (10th–90th percentile: $127K–$275K).

See the full AI Engineering salary breakdown →
Apply →

Other roles at Google

  • Customer Engineer, Platform, DACH, FSI, Google CloudMunich, Germany
  • Lead Group Product Manager, Marketing Technology PlatformMountain View, CA, USA
  • Software Engineering Manager, Android Automotive AI/MLKraków, Poland
  • Digital Marketing Strategist, gTech Ads (English, Korean)Seoul, South Korea
  • Product Manager II, AI Crisis ResilienceTel Aviv, Israel
  • Federal Go-To-Market Lead, AI Infrastructure, Google Public SectorReston, VA, USA
  • Practice Customer Engineer III, Cloud AI, Google CloudSingapore
  • Strategic Partner Development Principal Lead, Android Platform Partnerships (Mandarin, English)Taipei, Taiwan
  • Regional Product Lead, PSA AppsSingapore
  • Senior Developer Relations Engineer, AI InfrastructureSunnyvale, CA, USA

More AI Engineering roles

  • AI Engineer SpecialistJobgether · Brazil
  • Machine Learning Engineer / Data ScientistJobgether · US
  • Senior Machine Learning Engineer / Senior Applied Scientist, Search & AIApple · Bengaluru
  • Staff AI/ML EngineerJobgether · Canada
  • Staff AI/ML EngineerJobgether · US
  • Senior Machine Learning Engineer I, AI GovernanceJobgether · Canada
  • ML Engineer (커뮤니티 추천)Tosscareers · Seoul
  • Machine Learning Research EngineerCelonis · New York, US, New York
  • Manager, Machine Learning EngineeringWarner Bros. Discovery · Bangalore - Embassy Tech Village
  • Senior Manager, Machine Learning Engineering (Data & Audience Platform), HyderabadWarner Bros. Discovery · Hyderabad - Phoenix Equinox Tower 2