Customer Ingenieur, Applied AI — Google Switzerland
NeuCHF 83'000 - 126'000
Google Switzerland · Zürich (ZH)
- Ort
- Zürich
- Vertrag
- full-time
- Veröffentlicht
- Heute
LohnCHF 83'000 - 126'000
Rollenüberblick
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland
- Munich, Germany.
- Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience.
- 10 years of experience in a customer-facing technical role (e.g., Customer Engineering, Solutions Architecture, Technical Consulting) or software engineering role working with cloud-native architectures.
- 2 years of experience building, prototyping, or deploying Generative AI, Conversational AI, or Enterprise Search, Information Retrieval solutions using modern AI APIs, models, or developer frameworks.
- Experience writing and debugging code in Python or a modern backend language, including experience working with REST APIs, asynchronous operations, and OpenAPI specifications.
- Experience presenting architectures to, and managing technical discussions with enterprise technical stakeholders (e.g., Enterprise Architects, Engineering Leads).
- Experience developing autonomous agents using frameworks like Google ADK, LangGraph, and Semantic Kernel.
- Expertise in enterprise RAG optimization, hybrid vector retrieval, semantic search, ranking engines, and Vertex AI Search.
- Knowledge of tool execution patterns, MCP, OpenAPI schemas, and connecting agents to CRMs, ERPs, and e-commerce APIs.
- Skilled in building agentic shopping workflows integrated with product catalogs, dynamic pricing, and order management backends.
- Design end-to-end architectures for enterprise workloads—spanning front-office customer journeys (Global Enterprise Customer Experience (GECX), omnichannel voice/chat), agentic commerce/shopping, back-office automation, multi-agent systems, and intelligent enterprise/product search.
- Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience.
- 10 years of experience in a customer-facing technical role (e.g., Customer Engineering, Solutions Architecture, Technical Consulting) or software engineering role working with cloud-native architectures.
Hauptaufgaben
- Design end-to-end architectures for enterprise workloads—spanning front-office customer journeys (Global Enterprise Customer Experience (GECX), omnichannel voice/chat), agentic commerce/shopping, back-office automation, multi-agent systems, and intelligent enterprise/product search.
Wichtige Anforderungen
- Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience.
- 10 years of experience in a customer-facing technical role (e.g., Customer Engineering, Solutions Architecture, Technical Consulting) or software engineering role working with cloud-native architectures.
- 2 years of experience building, prototyping, or deploying Generative AI, Conversational AI, or Enterprise Search, Information Retrieval solutions using modern AI APIs, models, or developer frameworks.
- Experience writing and debugging code in Python or a modern backend language, including experience working with REST APIs, asynchronous operations, and OpenAPI specifications.
- Experience presenting architectures to, and managing technical discussions with enterprise technical stakeholders (e.g., Enterprise Architects, Engineering Leads).
Bewerbungsprozess
- Guide customers in defining reasoning loops, tool/Application Programming Interface (API) execution, dynamic Standard Operating Procedure (SOP) retrieval, and advanced Retrieval-Augmented Generation (RAG).
- Build functional prototypes validating critical Customer User Journeys (CUJs), search/discovery flows, and multimodal extraction.
- Architect compliant solutions adhering to VPC-SC, IAM, CMEK, data residency, and AI safety boundaries, integrating Google Cloud AI with existing CRMs, CCaaS/telephony platforms, e-commerce backends and ERPs.
Unternehmen und Kontext
- Define technical blueprints ensuring seamless transitions to Forward Deployed Engineering (FDE), Professional Services Organization (PSO), and partner teams.
- Relay field feedback to Product Engineering and create reusable solution accelerators, whitepapers, and playbooks.
Weitere Details
- Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland; Minimum qualifications:
- Versed in cloud security perimeters (IAM, VPC, CMEK), Terraform infrastructure, distributed tracing, and hallucination evaluation.
Notizen und Originalinhalt
- By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland;
- Munich, Germany. Minimum qualifications:
- Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience.
- 10 years of experience in a customer-facing technical role (e.g., Customer Engineering, Solutions Architecture, Technical Consulting) or software engineering role working with cloud-native architectures.
- 2 years of experience building, prototyping, or deploying Generative AI, Conversational AI, or Enterprise Search, Information Retrieval solutions using modern AI APIs, models, or developer frameworks.
- Experience writing and debugging code in Python or a modern backend language, including experience working with REST APIs, asynchronous operations, and OpenAPI specifications.
- Experience presenting architectures to, and managing technical discussions with enterprise technical stakeholders (e.g., Enterprise Architects, Engineering Leads). Preferred qualifications:
- Experience developing autonomous agents using frameworks like Google ADK, LangGraph, and Semantic Kernel.
- Expertise in enterprise RAG optimization, hybrid vector retrieval, semantic search, ranking engines, and Vertex AI Search.
- Knowledge of tool execution patterns, MCP, OpenAPI schemas, and connecting agents to CRMs, ERPs, and e-commerce APIs.
Fragen zu dieser Stellenanzeige
Welches Gehalt bietet Google Switzerland für diese Stelle?
Google Switzerland gibt CHF 83'000 - 126'000 brutto pro Jahr für diese Position in Zürich an. Dies ist das im Original-Inserat veröffentlichte Gehalt (oder, falls der Arbeitgeber keinen Betrag nennt, eine realistische Schätzung für Rolle und Branche) — der Rechner auf dieser Seite berechnet daraus Ihr tatsächliches Netto nach Grenzgänger-Steuer und Sozialabgaben.
Ist das eine Vollzeitstelle, und welchen Vertragstyp bietet Google Switzerland?
Diese Stelle ist eine Vollzeit-Position. Der hier angezeigte Vertragstyp stammt direkt aus dem Original-Inserat des Arbeitgebers; klären Sie genaue Arbeitszeiten, Kündigungsfrist und Probezeit während des Bewerbungsprozesses mit Google Switzerland, da diese Details auch innerhalb derselben Vertragskategorie variieren können.
Brauche ich eine Grenzgänger-Bewilligung für eine Stelle im Kanton Zürich?
EU/EFTA-Bürger mit Wohnsitz in der Grenzzone des an den Kanton Zürich angrenzenden Landes können eine G-Bewilligung beantragen; der Schweizer Arbeitgeber reicht sie nach Vertragsunterzeichnung beim Migrationsamt dieses Kantons ein. Grenzzonen-Regeln und Bearbeitungszeiten variieren je nach Nachbarland und Kanton — klären Sie die Details mit dem Migrationsamt des Kantons Zürich oder mit HR während der Bewerbung.
Wie bewerbe ich mich für diese Stelle bei Google Switzerland?
Nutzen Sie die Schaltfläche "Jetzt bewerben" auf dieser Seite — sie führt direkt zum Original-Inserat von Google Switzerland unter google.com, sodass Ihre Bewerbung direkt im Bewerbermanagementsystem des Arbeitgebers landet. Frontaliere Ticino sammelt oder leitet keine Bewerbungen selbst weiter.
