GenAI Field Engineer: Enterprise-Grade Generative Media

Google Inc.; Singapore; On-site; SGD 250,000 - 360,000; Full time

Job summary

Google Cloud is hiring a GenAI Forward Deployed Engineer who embeds with strategic accounts to transform frontier AI into production-grade, customer-ready solutions. You will code, debug, and ship bespoke agentic workflows in customer environments, acting as an innovator-builder with a founder’s mindset.

This role addresses production blockers, data readiness, and state-management, delivering white-glove deployments while feeding field insights back into Google's product roadmap.

Qualifications

• Bachelor’s degree or higher in engineering, CS, or related field.
• 8 years of software development or ML experience.
• 3 years building or fine-tuning generative AI models for media generation.
• Experience taking AI solutions from concept to production on cloud platforms (GCP).
• Experience building data pipelines using vector databases and RAG-like architectures.
• Proficiency in Python for generative media development.

Responsibilities

• Architect and develop reusable generative media solutions and assets to accelerate adoption.
• Develop complex AI applications and production-grade agentic workflows with multi-agent systems.
• Connect Google AI products to customer live infrastructure (APIs, data silos, security).
• Build high-performance evaluation pipelines and observability for agentic systems.
• Identify patterns and create reusable modules or feature requests for Engineering teams.

Skills

Python

Generative AI

Cloud platforms

Education

Bachelor’s degree in Engineering, Computer Science, or related field

Master’s degree or PhD in AI/CS or related field

Tools

LangGraph

CrewAI

ADK

Job description

Google Cloud is hiring a GenAI Forward Deployed Engineer who embeds with strategic accounts to transform frontier AI into production-grade, customer-ready solutions. You will code, debug, and ship bespoke agentic workflows in customer environments, acting as an innovator-builder with a founder’s mindset.

This role addresses production blockers, data readiness, and state-management, delivering white-glove deployments while feeding field insights back into Google's product roadmap.