As a Customer Engineer, Applied AI, you are the technical authority and trusted advisor helping enterprise customers design, validate, and scale next-generation AI agents on Google Cloud. You will sit at the intersection of deep engineering and go-to-market strategy, translating transformative AI capabilities into concrete, high-ROI business solutions. In this role, you will lead technical strategy across Applied AI agents, including customer-facing experiences and omnichannel journeys. You will partner with C-level stakeholders to accelerate the customer journey from initial discovery to production-ready enterprise deployment.
Tasks
- Design end-to-end architectures for enterprise workloads, including front-office customer journeys, agentic commerce/shopping, back-office automation, multi-agent systems, and intelligent enterprise/product search.
- Guide customers in defining reasoning loops, tool/API execution, dynamic 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.
- 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.
Requirements
- 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.
- Versed in cloud security perimeters (IAM, VPC, CMEK), Terraform infrastructure, distributed tracing, and hallucination evaluation.
Benefits
- Individual pay determined by factors including job-related skills, experience, and relevant education or training.
- Germany: €150000 - €153000 (EUR) + 20% bonus target + equity + benefits.
- Access to the world's most advanced AI portfolio, including frontier Gemini models and the complete Vertex AI platform.
- Collaborative culture providing direct access to DeepMind's engineering and research minds.
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Über uns
Das Team
We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges.