Customer Engineer, Applied AI

As a Customer Engineer, Applied AI, you translate cutting-edge AI capabilities into high-impact enterprise solutions. You will design end-to-end architectures for complex workloads, validate reference prototypes, and guide customers from discovery to production. You’ll work across teams and with C-level stakeholders to ensure secure, scalable deployments that meet enterprise requirements. This role blends deep engineering with GTM strategy, leveraging Google’s AI portfolio to solve real business problems and accelerate customer success.

• bonus target
• equity
• benefits

• Architect robust solution blueprints for enterprise AI agents and search across CRM/ERP/e-commerce integrations
• Build and validate functional prototypes and CUJs, including multimodal extraction and RAG flows
• Define reasoning loops, tool/API execution, and dynamic SOP retrieval
• Address security, latency, and compliance perimeters (IAM, VPC, CMEK) in designs
• Collaborate with C-level stakeholders to translate capabilities into scalable, business-ready deployments
• Create reusable accelerators, whitepapers, and playbooks; enable partner teams and field engineers
• Lead technical discussions and guide enterprise architects and engineering leads through architecture decisions

• Bachelor's degree in Computer Science, Mathematics, or related field
• 10 years in a customer-facing technical role or cloud-native software engineering
• 2 years building or deploying Generative AI, Conversational AI, or Enterprise Search solutions
• Proficiency in Python or modern backend languages; experience with REST APIs, asynchronous tasks, OpenAPI
• Experience presenting architectures to senior technical stakeholders and leading technical conversations

• Stakeholder engagement
• Clear communication
• Strategic thinking
• Generative AI/Conversational AI/Enterprise Search implementations
• AI APIs, models, and developer frameworks
• Python or modern backend programming