About this role
Lead end-to-end architecture and design of enterprise generative AI, LLM-powered workflows and agentic systems, including reusable components, secure cloud-native data pipelines, and platform decisions across Azure, AWS and Snowflake. Collaborate with cross-functional teams, embed security/privacy/compliance principles, and support MLOps/LLMOps, model monitoring, evaluation and lifecycle management in regulated healthcare environments.
Skills for this role
Generative AILarge Language Models (LLMs)Retrieval-augmented generationPrompt engineeringModel integrationAzureAWSSnowflakeVector databasesEmbedding strategiesSearch optimizationMLOpsLLMOpsModel monitoringModel evaluationModel lifecycle managementAgentic AI frameworksLangGraphSemantic KernelAutoGenCrewAICloud-native architectureData pipeline architectureOrchestration frameworksObservabilityPerformance optimizationSecurityComplianceRisk assessmentHuman-in-the-loop workflows``Reference architectures``Design patterns``Reuse/