About this role
Architect and build custom AI infrastructure and hardware solutions, optimizing performance, power, cost and scalability for LLM-driven, GenAI and agentic AI components on Azure. Responsibilities include designing and implementing RAG pipelines, agents, retrieval and ingestion workflows, safety and control components, and operationalizing production-grade LLM applications.
Skills for this role
Large Language Models (LLMs)Microsoft Azure Data ServicesAzure AI FoundryFoundry Agent ServiceAzure OpenAI modelsAzure AI SearchPrompt FlowAzure FunctionsLogic AppsAPI ManagementEvent GridMicrosoft FabricEntra IDAzure Key VaultAzure MonitorApplication InsightsRAGFunction/tool callingAgent orchestrationPrompt engineeringEmbeddingsVector databasesEvaluation metricsPythonAPIsDistributed systemsCI/CDAutomated testingObservabilitySecure SDLC practices (secure SDLC) - phrasing from source was 'secure SDLC' but