GenAI Field Engineer: Production-Ready AI Solutions

Google LLC; Zürich; Hybrid; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Google Cloud is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products with production-grade realities for customers. You will code, debug, and ship bespoke agentic solutions directly within customer environments, addressing blockers and data readiness issues.

In this role you will embed with accounts to provide white-glove deployment of AI systems and feed real-world insights back into Google Cloud’s product roadmap, joining a team driving the AI revolution for businesses

Qualifikationen

• Bachelor’s degree in Engineering, Computer Science, or related field or equivalent practical experience.
• 8 years of experience building and shipping production-grade AI-driven solutions using Python, TypeScript or similar languages.
• Experience leading technical discovery sessions with stakeholders and engineering teams to define AI and hardware requirements.
• Experience designing and building AI systems on cloud platforms (GCP).
• Experience building pipelines for structured and unstructured data, using vector databases and RAG-like architectures.

Aufgaben

• Serve as lead developer for AI applications, moving prototypes to production-grade agentic workflows.
• Architect and code interfaces between Google AI products and customer live infrastructure.
• Build high-performance evaluation pipelines and observability for accuracy, safety, and latency.
• Identify repeatable patterns and convert friction points into reusable modules or requests.
• Mentor talent, collaborate with customer teams, and influence cross-functional strategies.

Kenntnisse

AI development

Python

TypeScript

Stakeholder communication

Ausbildung

Bachelor's degree in Engineering/CS

Master’s degree or PhD (preferred)

Tools

Google Cloud Platform (GCP)

Vector databases

Jobbeschreibung

Google Cloud is seeking a GenAI Forward Deployed Engineer to bridge frontier AI products with production-grade realities for customers. You will code, debug, and ship bespoke agentic solutions directly within customer environments, addressing blockers and data readiness issues.

In this role you will embed with accounts to provide white-glove deployment of AI systems and feed real-world insights back into Google Cloud’s product roadmap, joining a team driving the AI revolution for businesses