Customer Ingegnere, Applied AI — Google Switzerland
- Località
- Zürich
- Contratto
- full-time
- Pubblicato
- Oggi
Panoramica
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.
Responsabilità principali
- 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.
Requisiti principali
- 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).
Processo di candidatura
- 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.
Azienda e contesto
- 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.
Dettagli ulteriori
- 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.
Note e contenuto originale
- 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.
Domande frequenti su questo annuncio
Che stipendio offre Google Switzerland per questa posizione?
Google Switzerland indica CHF 83'000 - 126'000 lordi annui per questo ruolo a Zürich. Questo è lo stipendio pubblicato nell'annuncio originale (o, quando il datore non specifica una cifra, una stima realistica per ruolo e settore) — il calcolatore di questo sito lo converte nel netto reale una volta applicate imposta da frontaliere e contributi sociali.
È un ruolo a tempo pieno, e che tipo di contratto offre Google Switzerland?
Questo annuncio è una posizione a tempo pieno. Il tipo di contratto mostrato qui arriva direttamente dall'annuncio originale del datore di lavoro; conferma sempre orario esatto, preavviso e durata del periodo di prova con Google Switzerland durante il colloquio, perché questi dettagli possono variare anche all'interno della stessa categoria contrattuale.
Serve un permesso da frontaliere per un ruolo nel canton Zurigo?
I residenti UE/AELS nella zona di frontiera del paese confinante con il canton Zurigo possono richiedere il Permesso G; il datore di lavoro svizzero lo presenta all'ufficio della migrazione di quel canton dopo la firma del contratto. Regole sulla zona di frontiera e tempi di lavorazione variano per paese confinante e canton — verifica i dettagli con l'ufficio della migrazione del canton Zurigo o con HR durante il colloquio.
Come mi candido a questa posizione presso Google Switzerland?
Usa il pulsante "Candidati ora" in questa pagina — rimanda direttamente all'annuncio originale di Google Switzerland su google.com, quindi la tua candidatura arriva direttamente nel sistema di gestione candidature del datore di lavoro. Frontaliere Ticino non raccoglie né inoltra candidature in proprio.
