17 hours ago
Zürich, SwitzerlandStaff+
Responsibilities
- Develop complex AI applications and transition prototypes into production-grade agentic workflows, including multi-agent systems and Model Context Protocol servers.
- Architect and code integrations between Google AI products and customer infrastructure, including APIs, legacy data silos, and security perimeters.
- Build evaluation pipelines and observability frameworks for agentic system accuracy, safety, and latency.
- Identify repeatable field patterns and AI-stack friction points and turn them into reusable modules or product feature requests.
- Co-build with customer engineering teams to establish development best practices and support long-term adoption.
- Lead technical discovery sessions and translate customer business problems and AI or hardware constraints for executives and technical teams.
Requirements
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 8 years of experience in cloud computing or a technical customer-facing role.
- Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms such as Google Cloud Platform.
- Experience building structured and unstructured data pipelines using vector databases and Retrieval-Augmented Generation architectures.
- Experience leading technical discovery sessions.
- Preferred: master’s degree or PhD in AI, Computer Science, or a related technical field.
- Preferred: experience implementing multi-agent systems with LangGraph, CrewAI, or ADK and patterns such as ReAct, self-reflection, or hierarchical delegation.
- Preferred: experience influencing cross-functional teams on complex, large-scale engagements and understanding LLM-native metrics, state management optimization, and granular tracing.
Tech Stack
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.