Key skills

Retrieval-Augmented Generation (RAG)Vector databasesSemantic searchKnowledge retrievalLarge language modelsData preprocessingData quality managementData sanitationAnnotation and labeling workflowsAI system performance optimizationScalability of AI systemsReliability of AI systemsAI-powered document searchCloud-based AI solutionsMicrosoft AzureHealthcare dataHealthcare insurance operationsAI governanceRisk AdjustmentRevenue Cycle Management (RCM)Claims analyticsHealthcare compliance standardsHIPAAICD codingHealthcare data privacyAzure AI servicesAzure OpenAIAzure Machine LearningGenerative AIAILarge Language ModelsRAGVector DatabaseAnalytics

About this role

Cognizant is a leading digital company, and they are seeking an AI Engineer to design and deliver advanced AI solutions for the healthcare sector. The role involves collaborating with various stakeholders to create AI-powered solutions that enhance operational efficiency and decision-making.

Responsibilities:

Design, develop, and deploy AI-driven solutions leveraging Retrieval-Augmented Generation (RAG), large language models (LLMs), and vector database technologies
Build scalable clinical document search and knowledge retrieval platforms capable of processing and analyzing large volumes of healthcare data and unstructured content
Develop and optimize AI pipelines for document indexing, semantic search, data enrichment, classification, and healthcare analytics use cases
Collaborate with product, business, and clinical stakeholders to translate business requirements into secure, scalable, and compliant AI solutions
Drive continuous improvement in AI model performance, data quality, automation, observability, and operational excellence