Google

Forward Deployed Engineer III, Google Cloud, Applied AI

San Francisco, CA, USA · Mid

Sponsorship not specified$174k-$253kDetected 9 hours ago

PythonReactFull-Stack DevelopmentGCPCloud PlatformsTerraformMachine LearningRAGExcelCustomer SuccessResearch

About the role

This role requires an understanding of software engineering, machine learning operations, and cloud infrastructure.

Serve as the lead developer for conversational artificial intelligence (AI) and customer experience (CX) applications, transitioning from rapid prototypes to production-grade agentic workflows.
Build high-performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production-grade security and networking.
Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
5 years of experience with software development using Python or similar coding languages.
Experience architecting AI systems on cloud platforms (e.g., GCP).
Experience deploying resources via Terraform or similar tools to automate the setup of agents, functions, or networking.

Master's degree or PhD in AI, Computer Science, or a related technical field.
Experience implementing multi-agent systems using frameworks like ReAct and self-reflection.
Experience debugging Agent logic and optimizing tool selection, including tracing conversation IDs across microservices to identify and resolve failures in real-time.
Experience connecting agents to enterprise knowledge bases and optimizing RAG chunking to prevent hallucinations.
Ability to travel up to 50% of the time.
Track record of troubleshooting live, high-traffic systems during critical windows.
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.

Architect and code conversational flows that are not just functional, but optimized for the "connective tissue" between Google's Conversational AI products and customers' live infrastructure, including APIs, legacy data silos, and security perimeters.

This listing is sourced directly from Google's careers page and normalized into a canonical job model.