GenAI Forward-Deployed Engineer for Enterprise AI

Google Inc.; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Google Cloud is seeking a Generative AI Forward Deployed Engineer to be embedded with customers, delivering production-grade AI solutions that bridge frontier AI products with real-world environments.

You will code, debug, and ship bespoke agentic workflows while addressing data readiness, state management, and security constraints, ensuring enterprise-grade reliability and performance.

Qualifications

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 8 years of experience shipping production-grade AI solutions to external or internal customers.
• Experience building full-stack solutions that interface with enterprise systems.
• Experience in Python.
• Experience architecting AI systems on cloud platforms.

Responsibilities

• Lead the discovery-to-deployment journey as the lead developer for AI applications and transition prototypes to production-grade agentic workflows.
• Bridge the enterprise gap by architecting and coding the connective tissue between Google’s AI products and customer infrastructures.
• Engineer for production excellence with high-performance evaluation pipelines and observability for accuracy, safety, and latency.
• Act as a product catalyst by turning repeating field patterns into reusable modules or product requests.
• Mentor talent, partner with customer teams, and influence cross-functional strategies to uplift technical capabilities.

Skills

Python

Full-stack integration

Cloud architecture

AI systems delivery

Education

Bachelor’s degree in STEM or related field

Master’s degree or PhD preferred

Tools

LangGraph

CrewAI

Google ADK (Agent Development Kit)

Job description

Google Cloud is seeking a Generative AI Forward Deployed Engineer to be embedded with customers, delivering production-grade AI solutions that bridge frontier AI products with real-world environments.

You will code, debug, and ship bespoke agentic workflows while addressing data readiness, state management, and security constraints, ensuring enterprise-grade reliability and performance.