Senior Staff Forward Deployed Engineer, GenAI, Google Cloud - Google Careers

Job-Room; Zürich; Vor Ort; CHF 160.000 - 210.000; Vollzeit

Zusammenfassung

Job-Room seeks an experienced technologist to drive enterprise AI in the cloud. The role requires 8+ years in cloud/technical customer-facing work and hands-on delivery of production AI on cloud platforms such as GCP.

You will design data pipelines for structured and unstructured data using vector databases and RAG-like architectures, lead technical discovery sessions, and translate AI constraints for executives and technical teams.

Qualifikationen

• 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 (e.g., GCP).
• Experience building pipelines for structured and unstructured data using vector databases and RAG-like architectures.
• Experience leading technical discovery sessions.

Kenntnisse

Cloud computing

AI systems architecture

Data pipelines

Technical discovery

Interviewing

Ausbildung

Bachelor's degree in related field

Jobbeschreibung

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• 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 (e.g., Google Cloud Platform (GCP).
• Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
• Experience leading technical discovery sessions.

Preferred qualifications:

• Master-s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Experience identifying business problems and translating hardware/AI constraints for C-suites and technical teams.
• Experience influencing and driving outcomes with cross-functional teams on engagements of high complexity and large scope and scale.
• Experience performing discovery interviews to identify business problems and translate hardware/AI constraints for C-suites and technical teams.
• Knowledge of