GenAI Forward-Deployed Engineer - Enterprise AI Solutions

Google Inc.; Singapore; On-site; SGD 180,000 - 300,000; Full time

Job summary

Google Cloud is seeking a Generative AI Forward Deployed Engineer to bridge frontier AI products with production environments in customer settings. You will code, debug, and ship bespoke agentic solutions, solving data readiness and state-management challenges to reach enterprise-grade maturity.

You will partner with Go-To-Market teams, leverage Google's AI portfolio, and work closely with DeepMind engineering, shaping deployments and providing critical feedback for product roadmap.

Qualifications

• 8 years shipping production-grade AI solutions.
• Experience building full-stack interfaces with enterprise systems.
• Experience in Python.

Responsibilities

• Lead the discovery-to-deployment journey, acting as lead developer for AI applications and transitioning prototypes to production-grade agentic workflows.
• Bridge the enterprise gap by architecting and coding the connective tissue between Google AI products and customer live infrastructure, including APIs and data silos.
• Engineer for production excellence with high-performance evaluation pipelines and observability frameworks for accuracy, safety, and latency of agentic systems.
• Act as a product catalyst, turning repeatable field patterns into reusable modules or feature requests for engineering teams.
• Drive regional leadership by mentoring talent, co-building with customer teams, and informing cross-functional strategies.

Skills

Python

AI systems on cloud

Full-stack interfaces

Education

Bachelor’s degree in STEM or equivalent practical experience

Job description

Google Cloud is seeking a Generative AI Forward Deployed Engineer to bridge frontier AI products with production environments in customer settings. You will code, debug, and ship bespoke agentic solutions, solving data readiness and state-management challenges to reach enterprise-grade maturity.

You will partner with Go-To-Market teams, leverage Google's AI portfolio, and work closely with DeepMind engineering, shaping deployments and providing critical feedback for product roadmap.