Forward Deployed AI Engineer – Conversational & Production

Google Inc.

Zürich

Vor Ort

CHF 180.000 - 240.000

Vollzeit

vor 28 Stunden
Sei unter den ersten Bewerbenden
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Zusammenfassung

Google is seeking a Forward Deployed Engineer in Applied AI to lead productionized conversational AI pilots, transforming initial prototypes into scalable, secure solutions. You will own end-to-end delivery across customer journeys, with emphasis on latency, tool selection, and robust security.

You will work in a fast-paced, global team, collaborating with model builders and customers to deliver high-impact AI initiatives at scale.

Qualifikationen

  • Bachelor’s degree in a technical field or equivalent practical experience.
  • 2 years of software development experience in Python or C++.
  • 2 years of GenAI techniques or related concepts (LLMs, CV, etc.).
  • 1 year of AI/ML infrastructure experience (deployment, evaluation, optimization, data processing).
  • Experience developing multilingual NLP models.

Aufgaben

  • Serve as the delivery lead for conversational AI pilots, refactoring prototype code into production-ready integrations.
  • Own the delivery of initial customer journeys, ensuring conversational flows are optimized for priority use-cases.
  • Architect and optimize complex agentic workloads, focusing on reasoning loops, tool selection, and latency reduction with strong security and networking.
  • Implement critical infrastructure: rate limiting, error handling, and regional failover; build monitoring dashboards for Go-Live stability.
  • Architect security perimeters (VPC, IAM, CMEK) and optimize RAG strategies balancing latency, accuracy, and cost.

Kenntnisse

Python
C++
GenAI techniques
AI/ML infra
Multilingual NLP

Ausbildung

Bachelor’s degree or equivalent

Tools

LangGraph
CrewAI
Google ADK

Jobbeschreibung

Google is seeking a Forward Deployed Engineer in Applied AI to lead productionized conversational AI pilots, transforming initial prototypes into scalable, secure solutions. You will own end-to-end delivery across customer journeys, with emphasis on latency, tool selection, and robust security.

You will work in a fast-paced, global team, collaborating with model builders and customers to deliver high-impact AI initiatives at scale.

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