Enterprise AI Field Engineer - Cloud & Agentic Solutions

Google; Zürich; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Google Cloud is seeking a Forward Deployed Engineer in Zürich to bridge frontier AI products with production systems. You will code, debug, and ship bespoke agentic solutions inside customers’ environments with high autonomy.

You will work as an embedded builder, addressing integration complexities, data readiness, and state-management challenges to drive enterprise-grade AI maturity, collaborating with DeepMind and partner teams to shape future products.

Qualifikationen

• Bachelor’s degree in Engineering, Computer Science, or equivalent practical experience.
• 8+ years of software development experience with Python or similar languages.
• Experience building AI pipelines with vector databases and RAG-like architectures.
• Experience deploying production-grade AI solutions on cloud platforms (Google Cloud Platform).
• Experience leading technical discovery sessions with customers, and fluent in French or German for customer interactions.

Aufgaben

• Develop and transition AI applications from prototype to production-grade workflows (multi-agent systems).
• Architect integration between Google's AI products and customer infrastructure and security perimeters.
• Build evaluation pipelines and observability for accuracy, safety, and latency.
• Identify repeatable field patterns and create reusable modules or feature requests.

Kenntnisse

Python

Technical discovery sessions

Multilingual (French/German)

AI systems on cloud platforms

Data pipelines (vector DBs, RAG)

Ausbildung

Bachelor’s degree in Engineering/CS or related field

Master’s or PhD in AI/CS (preferred)

Tools

LangGraph

CrewAI

ADK

Jobbeschreibung

Google Cloud is seeking a Forward Deployed Engineer in Zürich to bridge frontier AI products with production systems. You will code, debug, and ship bespoke agentic solutions inside customers’ environments with high autonomy.

You will work as an embedded builder, addressing integration complexities, data readiness, and state-management challenges to drive enterprise-grade AI maturity, collaborating with DeepMind and partner teams to shape future products.