About this role
Define technical strategy, reference architecture, and roadmaps for AI-enabled products and platforms; lead enterprise decisions on models, vendors, infrastructure, and engineering standards while building prototypes and reference implementations. Remain hands-on in software development and prototyping, focusing on LLM orchestration, RAG, agentic workflows, evaluation, and operating responsible, compliant AI systems that process healthcare data at scale.
Skills for this role
Large Language Models (LLMs)Retrieval-Augmented Generation (RAG)Agentic systemsModel orchestrationModel evaluation methodologiesAI operations (AIOps)Model lifecycle managementResponsible AIAI governanceObservabilityPythonTypeScriptJavaScriptCloud-native architectureDistributed systemsScalable systems designPrototype developmentSoftware architectureReactNext.jsPostgreSQLGemini on Vertex AIOCRDocument AIDockerKubernetesCI/CDVendor evaluationWorkflow orchestrationModel Context Protocol (MCP) supporting agentic architectures? (MCP)