10 hours ago
Munich, Germany +2 moreStaff+
Responsibilities
- Design end-to-end architectures for enterprise customer experiences, omnichannel voice and chat, agentic commerce, back-office automation, multi-agent systems, and enterprise search.
- Guide customers on reasoning loops, tool and API execution, SOP retrieval, and advanced Retrieval-Augmented Generation workflows.
- Build functional prototypes for customer journeys, search and discovery flows, and multimodal extraction.
- Architect compliant solutions using VPC Service Controls, IAM, CMEK, data residency, and AI safety boundaries.
- Integrate Google Cloud AI with CRMs, CCaaS and telephony platforms, e-commerce backends, and ERPs.
- Define technical blueprints for transitions to Forward Deployed Engineering, Professional Services Organization, and partner teams.
- Relay field feedback to Product Engineering and create reusable solution accelerators, whitepapers, and playbooks.
Requirements
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 10 years of experience in a customer-facing technical role or software engineering role working with cloud-native architectures.
- 2 years of experience building, prototyping, or deploying generative AI, conversational AI, or enterprise search and information retrieval solutions using modern AI APIs, models, or developer frameworks.
- Experience writing and debugging Python or another modern backend language, including REST APIs, asynchronous operations, and OpenAPI specifications.
- Experience presenting architectures and managing technical discussions with enterprise technical stakeholders.
- Preferred experience developing autonomous agents with Google ADK, LangGraph, and Semantic Kernel.
- Preferred expertise in enterprise RAG optimization, hybrid vector retrieval, semantic search, ranking engines, and Vertex AI Search.
- Preferred knowledge of tool execution patterns, MCP, OpenAPI schemas, and integrations with CRM, ERP, and e-commerce APIs.
- Preferred experience building agentic shopping workflows with product catalogs, dynamic pricing, and order-management backends.
- Preferred knowledge of cloud security perimeters, Terraform infrastructure, distributed tracing, and hallucination evaluation.
Benefits
- Germany base pay is €150000–€153000 EUR annually, with a 20% bonus target, equity, and benefits.
- Access to Google's AI portfolio, including Gemini models and the Vertex AI platform, and collaboration with DeepMind engineering and research teams.
- The role is part of Google Cloud's Go-To-Market team; no work arrangement or other practical logistics are stated.
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.