Enterprise AI Delivery Architect (Cloud)

Google LLC

Zürich

Vor Ort

CHF 140.000 - 190.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Google Cloud seeks an AI Outcome Customer Engineer to bridge pre-sales and post-sales execution for enterprise AI accounts. You will shape adoption-focused solutions, engage with Forward Deployed Engineering, and align with Vertex AI and Gemini portfolio.

You’ll work with cross-functional teams to deliver secure, scalable AI integrations. Responsibilities include leading enterprise-grade AI design, evaluating feasibility with account teams, diagnosing complex deployment issues, and translating

Qualifikationen

  • Bachelor’s degree or equivalent practical experience.
  • 5+ years of cloud native architecture experience in a customer-facing role.
  • Experience designing or reading code (Java, C++, Python).
  • Experience with enterprise integrations, cloud infra, or AI/ML deployments.

Aufgaben

  • Partner with account teams during evaluation to shape proposals for adoption.
  • Lead upfront technical design for enterprise AI solutions and secure integration of models & connectors.
  • Investigate code-level issues, diagnose bugs, and test workarounds to clear roadblocks.
  • Coordinate with Product/Engineering to troubleshoot deployment blockers and translate feedback into requests.
  • Steer delivery strategy with technical authority while collaborating with customer-facing teams.

Kenntnisse

Cloud architecture
Delivery strategies
Code reading
System design
Orchestration frameworks
Enterprise integrations
Cloud infrastructure
AI/ML deployments
German language

Ausbildung

Bachelor's degree or equivalent

Tools

APIs
ECMs
Identity management

Jobbeschreibung

Google Cloud seeks an AI Outcome Customer Engineer to bridge pre-sales and post-sales execution for enterprise AI accounts. You will shape adoption-focused solutions, engage with Forward Deployed Engineering, and align with Vertex AI and Gemini portfolio.

You’ll work with cross-functional teams to deliver secure, scalable AI integrations. Responsibilities include leading enterprise-grade AI design, evaluating feasibility with account teams, diagnosing complex deployment issues, and translating

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