Customer Engineer, Applied AI

• Design end-to-end architectures for enterprise workloads—spanning front-office customer journeys (GECX, omnichannel voice/chat), 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 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 FDE, PSO, and partner teams; relay field feedback to Product Engineering and create reusable solution accelerators, whitepapers, and playbooks.

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.
• Skilled in building agentic shopping workflows integrated with product catalogs, dynamic pricing, and order management backends.
• Knowledge of tool execution patterns, MCP, OpenAPI schemas, and connecting agents to CRMs, ERPs, and e-commerce APIs.
• Versed in cloud security perimeters (IAM, VPC, CMEK), Terraform infrastructure, distributed tracing, and hallucination evaluation.

• 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).