AI Architect
San DiegoLast seen today
Summary
AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles. Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.
Data ScienceDevOps / InfrastructureAIAWSPythonAgentic AIAI SafetyAmazon BedrockAmazon CloudwatchAmazon Q BusinessApmAthenaAuroraAWS CdkAWS EcsAWS EksAWS GlueAWS X RayBias DetectionCI CDCloudformationData LakesDevsecopsDynamodbEmbedding ModelsEvent Driven ArchitectureFeafFinopsGenerative AIKendraLangChainLanggraphLinuxLitellmLLM Fine TuningLLM Large Language ModelsMachine LearningMicroservicesMlflowMlopsModel Context ProtocolModel Risk ManagementMultimodal AIOpen WebuiPostgreSQLPrompt EngineeringRAG Retrieval Augmented GenerationRedshiftResponsible AIResponsible AI PrinciplesRestful APIS3SagemakerSagemaker PipelinesServerlessSnowflakeSnowpro Advanced ArchitectSnowpro CoreSolutions Architect AssociateSolutions Architect ProfessionalTerraformTogafVector StoresWindowsZachman Framework