Partner Forward Deployed Engineer III, GenAI, Google Cloud

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Engineering, Computer Science, a related field, or

equivalent practical experience.

• 5 years of experience with software development using Python or similar

coding languages.

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

Platform (GCP)).

• Experience taking production-grade AI-driven solutions from conception to

launch for customers.

• Experience guiding technical discovery sessions with customers.
• Experience building pipelines for structured and unstructured data using both

vector databases and RAG-like architectures to power enterprise AI solutions.

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 (FDE) 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

strategic partners inside customer environments. In this role, you will bridge

the gap between frontier AI prototypes and production-grade reality, resolving

integration complexities, data readiness challenges, and state-management

bottlenecks that prevent systems from reaching enterprise maturity. You will

also provide white-glove deployments and establish a critical feedback loop to

Google, transforming field insights into future product roadmap enhancements

alongside partner engineering 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: $174000 - $252000 (USD) + 15% 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.