Forward Deployed Engineer II, Generative AI, Google Cloud

Google LLC; Sunnyvale (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google LLC in Sunnyvale seeks a Generative AI Forward Deployed Engineer to embed with customers, turning prototypes into production-grade agentic solutions.

You’ll tackle integration, data readiness, and state-management blockers, ship bespoke AI workflows, and feed real-world insights back into Google Cloud’s roadmap to accelerate adoption and measurable ROI. You’ll work with Go-To-Market and engineering teams to ensure secure, scalable deployments.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field
• 2 years of experience with Python or similar languages
• Experience taking production-grade AI-driven solutions from conception to launch
• Experience architecting AI systems on cloud platforms (GCP)
• Experience building pipelines for structured and unstructured data using vector databases and RAG-like architectures

Responsibilities

• Develop AI apps from prototypes to production-grade agentic workflows.
• Connect Google AI products with customers’ live infrastructure via APIs and security perimeters.
• Create fast evaluation pipelines and observability for accuracy, safety, and latency.
• Identify repeatable field patterns and turn them into reusable modules.
• Collaborate with customer engineers to enforce best practices and adoption.

Skills

Python

AI concepts

Google Cloud

Vector databases

RAG architectures

Multi-agent systems

State management

Observability

Production debugging

Software architecture

Education

Bachelor’s degree

Master’s degree

PhD

Tools

LangGraph

CrewAI

ADK

Job description

As a Generative AI Forward Deployed Engineer (FDE) at Google Cloud, you will be 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.

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 accounts, you will serve a dual purpose: providing white glove deployment of 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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
• Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including 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 the 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.

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 similar coding languages.
• Experience taking production-grade AI-driven solutions from conception to launch for customers.
• 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.

Preferred qualifications:

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