Role SummaryYou will design and implement the serverless infrastructure that powers the Knowledge Platform. Your work will involve managing complex data relationships in a Graph Database (Amazon Neptune), orchestrating AI workflows via Amazon Bedrock, and crucially developing the Feedback API. This API is the cornerstone of our "Human-in-the-Loop" strategy, allowing clinical experts to provide structured feedback on AI-generated content, which in turn matures our machine learning models and ensures clinical safety.Key Responsibilities API Development andamp; Feedback Loop: Design and maintain robust REST/GraphQL APIs, including the specialized Feedback API which captures human validation of AI-extracted facts and semantic triples. Knowledge Graph Engineering: Develop SPARQL/Gremlin queries and data mutation patterns for Amazon Neptune to manage complex clinical taxonomies and content relationships. AI Orchestration: Build Back End integrations with Amazon Bedrock for Retrieval Augmented Generation (RAG), entity extraction, and automated content tagging. Search Infrastructure: Implement and optimize hybrid search logic, combining vector embeddings in Amazon OpenSearch with structured graph traversals. Serverless Workflows: Design and deploy event-driven architectures using AWS Lambda, Step Functions, and EventBridge to handle complex content processing pipelines. Data Integrity andamp; Security: Ensure all data handling complies with NICE security standards, using KMS ..... full job details .....