Google AI Lead Architect
San DiegoLast seen today
Summary
Lead the design and delivery of enterprise AI platforms and applications on Google Cloud, leveraging Vertex AI, Gemini, and cloud-native technologies. Design, fine-tune, and govern LLM solutions; build RAG and agentic systems; and define end-to-end architectures spanning data pipelines, feature engineering, model lifecycle, APIs, and MLOps/LLMOps. Architect cloud-native applications on GKE, Cloud Run, and managed services while implementing security, governance, and production-grade monitoring for AI/ML systems at scale.
Data ScienceDevOps / InfrastructureAIAWSAzureDockerKubernetesSQLTerraformAgentic AIBigqueryCI CDCloud BuildCloud RunCloud SQLContext ManagementData PipelinesDevsecopsETLFeature EngineeringFunction CallingGCPGeminiGenerative AIGitHub ActionsGkeGoogle CloudInference OptimizationJenkinsLLMLlmopsMachine LearningMemorystoreMicroservicesMlopsModel DeploymentObservabilityPrompt EngineeringPub SubRAGRetrieval StrategiesSafety PoliciesServerlessSpannerVector DatabasesVector SearchVertex AIVertex AI Pipelines