GenAI Frontline Deployment Engineer

Google

Sydney

On-site

AUD 180,000 - 240,000

Full time

5 days ago
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Job summary

Google Cloud is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products with production-grade reality at customer sites. You will embed with engineering teams, own end-to-end delivery of bespoke agentic workflows, and move from prototype to production with a founder's mindset.

In this role you will tackle integration, data readiness, and state-management challenges to achieve enterprise-grade maturity.

Qualifications

  • Bachelor's degree in Engineering, Computer Science, or related field, or equivalent practical experience.
  • 8 years of experience in cloud computing or a technical customer-facing role.
  • Experience deploying, scaling, and debugging Large Language Model (LLM) or agent-based systems in production environments.
  • Experience with end-to-end technical ownership of engineering projects with executive stakeholders.

Responsibilities

  • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive ROI.
  • Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs and data silos.
  • Design and deploy production-grade agentic developer workflows on Google Cloud's AI stack, performing large-scale refactors and migrations.
  • Embed with customers' Staff Engineers and Leaders to identify core SDLC bottlenecks and define rigorous success metrics.
  • Integrate Google's agentic systems into the customer's existing ISV and tools leveraging MCP and A2A protocols.

Skills

Cloud computing
LLM deployment
Technical leadership
Stakeholder management
Production debugging

Education

Bachelor's degree in Engineering/CS

Tools

LangGraph
CrewAI
ADK
MCP
A2A

Job description

Google Cloud is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products with production-grade reality at customer sites. You will embed with engineering teams, own end-to-end delivery of bespoke agentic workflows, and move from prototype to production with a founder's mindset.

In this role you will tackle integration, data readiness, and state-management challenges to achieve enterprise-grade maturity.

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