Generative AI Forward Deployed Engineer, Google Cloud

Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence · Cloud Engineering

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In short

Google Cloud is seeking a Generative AI Forward Deployed Engineer to act as an embedded builder, translating frontier AI products into production-grade solutions for customers. This role involves coding, debugging, and shipping bespoke agentic solutions within customer environments, addressing integration, data readiness, and state-management challenges to achieve enterprise-grade AI maturity. You will provide 'white glove' deployment of complex AI systems and contribute feedback to the product roadmap.

Responsibilities

Serve as a developer for complex 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 customer's 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.

Requirements

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 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 and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
Experience leading technical discovery sessions.

Desired Qualifications

Master’s 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 'LLM-native' metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

Benefits

Leverage Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale.
Access to the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform.
Collaborative culture providing direct access to DeepMind's engineering and research minds.
Opportunity to be the catalyst for Google Cloud's mission, drive customer success, and define the new cloud era.

Skills

Google Cloud PlatformGCPvector databasesRAGLangGraphCrewAIADKReAct

#AI#Generative AI#Google Cloud#Cloud Computing#Engineering#Software Development#Machine Learning

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