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Systems (Core Responsibility)\nDesign and implement end-to-end AI/ML solutions including LLM-based applications\nBuild RAG pipelines using vector databases and enterprise data sources\nBuild machine learning models that automate their training, validation, monitoring, and retraining\nDevelop APIs and services to operationalize AI capabilities across the organization\n\nDevelop Data + AI Pipelines\nBuild ingestion for multi-modal content and transformation pipelines for structured and unstructured data\nIntegrate AI workflows with enterprise systems (policy, claims, billing, etc.)\nEnsure data quality, traceability, reliability, and governance in all AI pipelines\n\nOperationalize Models (MLOps)\nImplement CI/CD for AI/ML workflows\nDeploy, monitor, and maintain models in production\nManage model versioning, performance monitoring, and retraining processes\n\nBuild on AWS\nDevelop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services \nContribute to evolving 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