GenAI Forward-Deployed Engineer, Cloud AI Solutions

Google Inc.

New York, Sunnyvale (NY, CA)

On-site

USD 207,000 - 300,000

Full time

6 days ago
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Job summary

Google Cloud is seeking a Generative AI Forward Deployed Engineer to embed as an innovator-builder, moving from prototypes to production-grade, agentic solutions inside customer environments.

You will bridge frontier research and live deployments, resolve integration challenges, and help define product roadmaps with partner technical teams while delivering white-glove deployments and measurable business impact.

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 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.
  • Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).

Responsibilities

  • Serve as tech lead and developer with AI partners to move prototypes to production-grade agentic workflows.
  • Build high-performance evaluation pipelines and observability for accuracy, safety, and latency.
  • Identify repeatable patterns in Google's AI stack and turn them into reusable modules.
  • Co-build with partner teams to adopt Google-grade development practices.

Skills

Python
Data pipelines
AI systems
Cloud platforms
Customer engagement

Education

Bachelor's degree

Tools

Google Cloud Platform
LangGraph
CrewAI
ADK

Job description

Google Cloud is seeking a Generative AI Forward Deployed Engineer to embed as an innovator-builder, moving from prototypes to production-grade, agentic solutions inside customer environments.

You will bridge frontier research and live deployments, resolve integration challenges, and help define product roadmaps with partner technical teams while delivering white-glove deployments and measurable business impact.

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