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Staff Gen AI Engineer, Forward Deployed
Sydney NSW, Australia; Melbourne VIC, AustraliaFull-timeStaff
A Staff-level generative AI engineer role at Google Cloud that embeds with strategic partners to build and deploy production-grade agentic AI solutions. You'll serve as both an innovator-builder and technical leader, bridging the gap between AI prototypes and enterprise-ready systems while providing feedback to Google's product roadmap. This position offers high agency and requires hands-on coding, debugging, and shipping of complex AI systems directly with customers in Sydney or Melbourne.
Requirements
- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience
- 8 years of experience with software development using Python or similar coding languages
- Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform)
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions
- Experience taking production-grade AI-driven solutions from conception to launch for customers
- Experience leading technical discovery sessions with customers
Responsibilities
- Serve as a team lead and developer within the strategic AI partner for AI applications, working with partner's teams to transition from rapid prototypes to production-grade, replicable agentic workflows
- Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency
- Identify repeatable partner and field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests
- Co-build with a strategic AI partner's own Forward Deployed Engineering teams to instill Google-grade development best practices
- Help partners to build their own agentic delivery capabilities to set them up for long-term success, focusing on ROI at customer engagements
Skills
- Python
- Google Cloud Platform
- Vector databases
- RAG architectures
- LangGraph
- CrewAI
- ADK
- ReAct
- Multi-agent systems
- Gemini models
- Vertex AI
- MCP servers