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In this role, you will accelerate customer value and increase adoption by delivering innovative, repeatable, and enterprise-ready solutions focused on business value. Make Google Cloud the preferred choice for customers by delivering the highest-value, industry relevant solutions.

Tasks

  • Design and build autonomous agentic workflows utilizing machine learning and generative AI technologies as part of a fully autonomous or human-in-the-loop agentic workflow.
  • Partner with client leads (business user) to identify high-impact AI use cases.
  • Translate these use cases into product requirement documents (PRDs), clearly defining critical user journeys (CUJs) and success metrics.
  • Evaluate and integrate AI solutions with modern data foundations, including relational databases, data lake houses, and real-time streaming architectures.
  • Ensure all prototypes are built with a "production-first" mindset.
  • Implement basic CI/CD pipelines and utilize infrastructure-as-code (IaC) (e.g., Terraform) to ensure environments are reproducible and secure.
  • Create clear technical guides to ensure a seamless hand-off from POC to engineering teams.

Requirements

  • Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • 7 years of experience in software or data engineering, including one or more programming languages (e.g., Python, Go, Java), and with design patterns, testing frameworks, and API contract design.
  • Experience using machine learning methodologies (deep learning, reinforced learning), model identification, selection and AI operations (e.g., model monitoring).
  • Experience using Generative AI and agentic orchestration utilizing frameworks (e.g., LangChain, CrewAI, or Vertex AI Agent Builder) and vector databases.
  • Experience in financial services, and with the regulatory and operational clearing, settlement, or custody.
  • Experience with FSI regulatory practices and data residency, encryption at rest/transit (CMEK), and "explainable AI" requirements in banking.
  • Experience with data modeling of relational, NoSQL, and analytical data modeling (Star Schema, Data Vault, etc.).
  • Experience in BigQuery, Vertex AI, Dataflow, and Pub/Sub with an ability to drive the discovery phase, moving from a vague business problem to a structured product requirement document (PRD) and a working technical demo.
  • Experience working in a high-maturity DevOps culture (e.g., trunk-based development, automated testing, blue/green deployments).

Benefits

  • Germany: €150000 - €153000 (EUR) + 20% bonus target + equity + benefits
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Über uns
Google Switzerland GmbH ist ein Technologieunternehmen im Bereich Internetdienste und Softwareentwicklung. Das Unternehmen entwickelt und betreibt digitale Produkte und Dienstleistungen, insbesondere in den Bereichen Suche, Online-Werbung, Cloud-Lösungen und Software. In der Schweiz fungiert Google als Standort für Engineering, Forschung sowie Vertriebs- und Geschäftsentwicklung und unterstützt die globale Produktentwicklung und Vermarktung.
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