Customer Ingénieur, Applied AI — Google Switzerland
- Lieu
- Zürich
- Contrat
- full-time
- Publié
- Aujourd'hui
Vue d’ensemble du poste
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.
Responsabilités principales
- 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.
Exigences principales
- 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).
Processus de candidature
- 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.
Entreprise et contexte
- 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.
Détails supplémentaires
- 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.
Notes et contenu original
- 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.
Questions sur cette offre
Quel salaire propose Google Switzerland pour ce poste ?
Google Switzerland indique CHF 83 000 - 126 000 bruts par an pour ce poste à Zürich. Il s'agit du salaire publié dans l'annonce d'origine (ou, si l'employeur ne précise pas de montant, d'une estimation réaliste pour le rôle et le secteur) — le calculateur de ce site le convertit en net réel une fois l'impôt frontalier et les cotisations sociales appliqués.
Est-ce un poste à temps plein, et quel type de contrat propose Google Switzerland ?
Cette offre est un poste en temps plein. Le type de contrat affiché ici provient directement de l'annonce originale de l'employeur ; confirmez toujours les horaires exacts, le préavis et la durée d'essai avec Google Switzerland pendant le processus de candidature, ces détails pouvant varier même au sein de la même catégorie de contrat.
Ai-je besoin d'un permis de frontalier pour un poste dans le canton de Zurich ?
Les résidents UE/AELE domiciliés dans la zone frontalière du pays voisin du canton de Zurich peuvent demander un permis G ; l'employeur suisse le dépose auprès de l'office cantonal des migrations après signature du contrat. Les règles de zone frontalière et les délais varient selon le pays voisin et le canton — confirmez les détails auprès de l'office des migrations du canton de Zurich ou avec les RH pendant la candidature.
Comment postuler à ce poste chez Google Switzerland ?
Utilisez le bouton « Postuler maintenant » sur cette page — il renvoie directement à l'annonce originale de Google Switzerland sur google.com, votre candidature arrive donc directement dans le système de suivi des candidatures de l'employeur. Frontaliere Ticino ne collecte ni ne transmet lui-même les candidatures.
