Embedded GenAI Engineer — Deploy & Scale Enterprise AI

Ethereum Technologies; Los Angeles (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer to embed with customer environments, turning rapid prototypes into production-grade agentic AI workflows in Los Angeles and across the US. You will partner with client teams to deploy Gemini-powered CX, CES, and CCAI, while building observability pipelines and addressing data readiness to ensure enterprise-grade maturity.

This role demands a founder’s mindset, high agency, and hands-on expertise in Python, cloud architectures, and

Qualifications

• Bachelor’s degree in engineering or CS or equivalent practical experience.
• 5 years of software development experience (Python or similar).
• Experience architecting AI systems on cloud platforms (GCP).
• Experience building data pipelines with vector databases and RAG-like architectures.

Responsibilities

• Develop complex AI applications and production-grade agentic workflows to deliver ROI.
• Architect and code the connective tissue between Google AI products and customer infrastructure.
• Build high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency.
• Identify reusable field patterns and translate them into modular components or feature requests.

Skills

Python

GCP

AI systems

Cloud architectures

Education

Bachelor's degree in engineering or CS

Tools

Vector databases

RAG architectures

Job description

Google Cloud is seeking a GenAI Forward Deployed Engineer to embed with customer environments, turning rapid prototypes into production-grade agentic AI workflows in Los Angeles and across the US. You will partner with client teams to deploy Gemini-powered CX, CES, and CCAI, while building observability pipelines and addressing data readiness to ensure enterprise-grade maturity.

This role demands a founder’s mindset, high agency, and hands-on expertise in Python, cloud architectures, and