Staff Forward Deployed Engineer, Google Cloud

Google; Greater London; On-site; GBP 150,000 - 190,000; Full time

Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer to embed with customers, bridging frontier AI products and production-grade reality. You will move beyond architecture to code, debug, and ship bespoke agentic solutions within customers' environments.

As part of Google's Go-To-Market team, you’ll tackle deployment blockers, data readiness, and state-management challenges, delivering white-glove AI deployments and feeding field insights back into product roadmap.

Qualifications

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience in cloud computing or a technical customer-facing role.
• Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (GCP).
• Experience building pipelines for structured and unstructured data using vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
• Experience leading technical discovery sessions.

Responsibilities

• Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive ROI.
• Architect and code the connective tissue between Google's AI products and customers' live infrastructure.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify repeatable field patterns and convert them into reusable modules or feature requests for Engineering teams.
• Co-build with customer engineering teams to ensure long-term project success and adoption.

Skills

Cloud architecture

AI solutions deployment

Technical customer-facing

Technical discovery leadership

Vector databases

RAG architectures

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD preferred

Tools

Google Cloud Platform (GCP)

LangGraph

CrewAI

Agent Development Kit (ADK)

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience in cloud computing or a technical customer-facing role.
• Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
• Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.
• Experience leading technical discovery sessions.

Preferred qualifications:

• Master's degree or PhD in Artificial Intelligence, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

About the job

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customers' environment. Your role is designed for high-agency engineers with a founder's mindset. 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, by embedding with strategic accounts, you will serve a dual purpose: providing "white glove" deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap. 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.

Responsibilities

• Serve as a developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment (ROI).
• Architect and code the "connective tissue" between Google's AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
• Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
• Identify repeatable 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 customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.