Generative AI Field Engineer II — Embedded, Production-Ready

Google LLC

Sunnyvale (CA)

On-site

USD 147,000 - 210,000

Full time

2 days ago
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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

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.

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