Forward Deployed Engineer III, GenAI, Google Cloud
Company: Google
Location: Mountain View
Posted on: April 4, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree in Science,
Technology, Engineering, Mathematics, a related technical field, or
equivalent practical experience. 8 years of experience shipping
production-grade AI-driven solutions to external or internal
customers. Experience in Python. Experience architecting AI systems
on cloud platforms. Experience leading technical discovery sessions
with executive stakeholders (C-suite) and engineering teams to
define AI and hardware infrastructure requirements. Experience
building full-stack solutions that interface with enterprise
systems. 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, or Google’s ADK) and patterns like ReAct, self-reflection,
and hierarchical delegation. Knowledge of "LLM-native" metrics
(tokens/sec, cost-per-request) and techniques for optimizing state
management and granular tracing. Ability to implement secure
agentic workflows incorporating MCP, tool-calling, and OAuth-based
authentication. About the job As a Generative Artificial
Intelligence (GenAI) Forward Deployed Engineer at Google Cloud, you
will be an embedded builder who bridges the gap between frontier
Artificial Intelligence (AI) products and production-grade reality
within customer environments. Unlike traditional advisory roles,
you will function as a "builder-consultant," moving beyond
architecture to code, debug, and jointly ship bespoke agentic
solutions. This role is designed for high-agency engineers with a
founder’s mindset. You will solve the integration complexities,
data readiness, 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 and
acting as a critical feedback loop for Google Cloud’s future
product roadmap.Its an exciting time to join Google Cloud’s
Go-To-Market team, leading the AI revolution for businesses
worldwide. You’ll excel by leveraging Googles brand credibility—a
legacy built on inventing foundational technologies and proven at
scale. We’ll provide you with the worlds 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 DeepMinds
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.
The US base salary range for this full-time position is
$183,000-$265,000 bonus equity benefits. Our salary ranges are
determined by role, level, and location. Within the range,
individual pay is determined by work location and additional
factors, including job-related skills, experience, and relevant
education or training. Your recruiter can share more about the
specific salary range for your preferred location during the hiring
process. Please note that the compensation details listed in US
role postings reflect the base salary only, and do not include
bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities Lead the "Discovery-to-Deployment" journey,
serving as the lead developer for AI applications and transitioning
from rapid prototypes to production-grade agentic workflows (e.g.,
multi-agent systems and MCP servers) that drive measurable ROI.
Bridge the enterprise gap by architecting and coding the
"connective tissue" between Google’s AI products and customers live
infrastructure, including APIs, legacy data silos, and security
perimeters. Engineer for production excellence, building
high-performance evaluation pipelines and observability frameworks
to ensure agentic systems meet rigorous requirements for accuracy,
safety, and latency. Act as a product catalyst, identifying
repeatable field patterns and technical "friction points" in
Google’s AI stack and converting them into reusable modules or
product feature requests for the Engineering teams. Drive regional
leadership and upskilling by mentoring talent, co-building with
customer teams, and influencing cross-functional strategies to
uplevel organizational technical capabilities.
Keywords: Google, Davis , Forward Deployed Engineer III, GenAI, Google Cloud, IT / Software / Systems , Mountain View, California
