2 months ago
Sydney, AustraliaStaff+
Responsibilities
- Develop complex AI applications and transition prototypes into production-grade agentic workflows, including multi-agent systems and MCP servers.
- Architect and code integrations between Google AI products and customer infrastructure, APIs, legacy data silos, and security perimeters.
- Design and deploy agentic developer workflows on Google Cloud’s AI stack, including refactors, language migrations, spec-to-PR pipelines, and automated review and incident-to-fix loops.
- Embed with customer engineering leaders to identify SDLC bottlenecks and define rigorous success metrics.
- Integrate Google’s agentic systems with customer tools and ISV platforms such as Atlassian Rovo, Teamwork Graph, GitLab, ServiceNow, and Slack using MCP and A2A protocols.
- Own customer engineering projects end to end and provide field feedback to inform Google Cloud’s product roadmap.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- Eight years of experience in cloud computing or a technical customer-facing role.
- Experience deploying, scaling, and debugging LLM or agent-based systems in production, including tooling, memory, orchestration, evaluation, tracing, and cost or latency profiling.
- Experience with end-to-end technical ownership of engineering projects involving executive stakeholders.
- Preferred: Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Preferred: experience implementing multi-agent systems with frameworks such as LangGraph, CrewAI, or ADK and patterns such as ReAct, self-reflection, and hierarchical delegation.
- Preferred: experience with agentic frameworks, harness layers, ADK or equivalent, MCP and A2A interoperability, third-party ISV platforms, and DevSecOps security ecosystems.
- Preferred: knowledge of LLM-native metrics and optimization of state management and granular tracing.
Benefits
- The role is part of Google Cloud’s Go-To-Market team and provides access to Google’s AI portfolio, Gemini models, and the Vertex AI platform.
- The role offers collaboration with DeepMind engineering and research teams and involves embedding directly with strategic customer engineering organizations.
Tech Stack
Google CloudReact
Categories
Forward Deployed
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.