Partner Forward Deployed Engineer IV, GenAI, Google Cloud

Google
Sunnyvale, California, United States · New York, New York, United StatesFull-time$207,000–$300,000Posted Sep 16, 2026

About the role

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 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)).

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 (LLM) native metrics (e.g., tokens/sec,

cost-per-request) and techniques for optimizing state management and granular

tracing.

ABOUT THE JOB:

As a Generative AI Forward Deployed Engineer at Google Cloud, you will be an

embedded innovator-builder moving beyond high-level architecture to code, debug,

and jointly ship bespoke, scalable agentic solutions directly with partners

inside customer environments. In this role, you bridge frontier prototypes into

production-grade reality, resolving integration complexities, data readiness

hurdles, and state-management bottlenecks that prevent systems from reaching

enterprise maturity. You will provide white-glove deployments and establish a

critical feedback loop to Google, transforming field insights into future Cloud

product roadmaps alongside partner technical 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. Individual pay is determined by factors including

job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

  • Serve as a tech lead and developer with AI partners for complex AI

applications, working with partner teams to transition from rapid prototypes

to production-grade, replicable agentic workflows (e.g., multi-agent systems,

MCP servers) that drive measurable Return on Investment (ROI).

  • Build high-performance evaluation pipelines and observability frameworks to

ensure partner developed agentic systems meet requirements for accuracy,

safety, and latency.

  • Identify repeatable partner and 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 a AI partner’s forward deployed engineering team to instill

Google-grade development best practices.

  • Help partners to build their own agentic delivery capabilities to set them up

for long term success, focusing on the ROI at customer engagements ensuring

customer activation.

Responsibilities

  • Serve as a tech lead and developer with AI partners for complex AI applications, working with partner teams to transition from rapid prototypes to production-grade, replicable agentic workflows.
  • Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency.
  • Identify repeatable partner and 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 a AI partner’s forward deployed engineering team to instill Google-grade development best practices.
  • Help partners to build their own agentic delivery capabilities to set them up for long term success.

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.
  • 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.

Benefits

  • 20% bonus target
  • equity
  • comprehensive benefits package

Skills mentioned

PythonGoogle CloudGenerative AILarge Language ModelsRetrieval-Augmented GenerationLangGraphAI AgentsData PipelinesModel EvaluationOpenTelemetry

About Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

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