Partner Forward Deployed Engineer IV, GenAI, Google Cloud
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
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