Forward Deployed Engineer, GenAI (Thai, English)

As a Generative AI (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder bridging the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. 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. You will address production blockers, including solving integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity.

This role serves 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. Join Google Cloud’s Go-To-Market team to lead the AI revolution for businesses worldwide. You will leverage Google's brand credibility backed by inventing foundational technologies, utilizing the world's most advanced AI portfolio, including frontier Gemini models and the complete Vertex AI platform. You will benefit from a collaborative culture with direct access to DeepMind's engineering and research minds.

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
• Translate technical concepts to non-technical executive and Thai-speaking audiences.

Minimum Qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 2 years of experience with software development using Python or related coding languages.
• Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
• Experience taking production-grade AI solutions from conception to launch for customers.
• Ability to communicate fluently in Thai and English to support client relationship management in this region.

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, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Experience leading technical discovery sessions.
• Knowledge of Large Language Models (LLM)-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.