AIEngJobs
RoleSuite
CompaniesRemoteAboutMethodologyContactPrivacy
Updated 2026-06-22 19:00 UTC·© 2025–2026 RoleSuite
← Back to listings

Partner Forward Deployed Engineer IV, GenAI, Google Cloud

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 partners for our customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke and scalable agentic solutions directly with our partners, for and within the customer’s environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with strategic partners, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical connector and feedback loop for the partner to Google, transforming real-world field and partner insights into Google Cloud’s future product roadmap. You will serve as the agent engineer bridging the gap between AI prototypes and production-grade reality for our strategic AI partners and their own FDE teams.

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.
  • 8 years 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.
  • Experience leading technical discovery sessions with customers.

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).
  • Knowledge of Large Language Model native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

AI Engineering pay context

Based on 566 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $200K/year, with most offers between $162K and $237K (10th–90th percentile: $131K–$272K).

See the full AI Engineering salary breakdown →
Apply →

Other roles at Google

  • Logistics Operations Manager, Google Cloud Logistics (English, Spanish)Ciudad de la Costa Canelones Department, Uruguay
  • Customer Engineer, AI, Google Cloud (Korean, English)Seoul, South Korea
  • Staff Software Engineer, Cloud SecuritySunnyvale, CA, USA
  • Staff Software Engineer, AI Agent, Google Cloud IAM InfrastructureKirkland, WA, USA
  • Technical Solutions Consultant, gTech Ads Sellside (Portuguese)São Paulo, State of São Paulo, Brazil
  • Account Strategist, Mid-Market Sales, Google Customer Solutions (German Market)Dublin, Ireland
  • Business Acquisition Manager, GCS (Vietnamese)Singapore
  • Senior Data Center Engineer, Electrical EngineeringUnited Kingdom
  • Research Scientist, Gemini Data, DeepMindParis, France
  • Enterprise Field Sales Representative, Public Sector (Arabic)Riyadh Saudi Arabia

More AI Engineering roles

  • Product Lead, AI/ML Abridge · SF Office
  • Staff Machine Learning Engineer, Foundation - SeattleQualtrics · Seattle, Washington, United States
  • Senior Machine Learning Engineer / London (UK-LON-40BR) / Simulation (7XW) Waymo · London, UK
  • Staff Machine Learning EngineerWaymo · London, UK
  • Machine Learning EngineerReddit · New York City, NY
  • Machine Learning EngineerReddit · San Francisco, CA
  • Senior AI EngineerJobgether · Canada
  • Senior Machine Learning Engineer IISumUp · Berlin, Germany
  • AI Research EngineerPostHog · Hybrid (UK)
  • Machine Learning EngineerApple · Beijing