Partner Forward Deployed Engineer V, GenAI, Google Cloud

Google; United States; Hybrid; USD 262,000 - 364,000; Full time

Job summary

Google Cloud is seeking a Generative AI Forward Deployed Engineer to embed with partners and deliver production-grade agentic AI solutions in customer environments. You will code, debug, and ship bespoke AI workflows directly within customer platforms at scale.

You will bridge prototype and production, solving data readiness and state-management challenges while collaborating with customer teams and Google’s AI portfolio to drive measurable ROI for clients.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with Python or similar languages.
• Experience building data pipelines using vector databases and RAG-like architectures.
• Experience taking AI solutions from conception to production for customers.
• Experience leading technical discovery sessions with customers.
• Experience architecting AI systems on cloud platforms (GCP).
• Master's/PhD preferred in AI/CS or related field.
• Experience with multi-agent systems and LLM-related metrics is a plus.

Responsibilities

• Serve as tech lead and developer with strategic AI partners to transition from rapid prototypes to production-grade, replicable agentic workflows.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify repeatable partner patterns and friction points to create reusable modules or feature requests for Engineering teams.
• Co-build with partner forward deployed teams to instill Google-grade development practices and enable partners to build their own agentic delivery capabilities.

Skills

Python

Vector databases

RAG architectures

AI deployment

Customer workshops

Cloud AI architecture

Multi-agent systems

LLM metrics

Education

Bachelor's degree in Engineering/Computer Science

Master's degree or PhD in AI/CS

Job description

Partner Forward Deployed Engineer V, GenAI, Google Cloud

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Google

New York, NY, USA; Sunnyvale, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Sunnyvale, CA, USA.

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 (GenAI) Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within partners for our customers. You will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke and scalable agentic solutions directly with our partners, for and within the customer’s environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. You will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical connector and feedback loop for the partner to Google, transforming real-world field and partner insights into Google Cloud’s future product roadmap. You will serve as the agent engineer bridging the gap between AI prototypes and production-grade reality for our strategic AI partners and their own FDE 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 determined by factors including job-related skills, experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Serve as a tech lead and developer with strategic 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 rigorous 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.
• Be able to co-build with a strategic 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.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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