{"author":{"name":"Puneeth Komaragiri","slug":"puneeth-komaragiri","article_count":1,"latest_published_at":"2026-05-21T17:02:22.685+00:00","profile_url":"https://platform.waiboom.ai/authors/puneeth-komaragiri","api_url":"https://platform.waiboom.ai/api/authors/puneeth-komaragiri"},"articles":[{"slug":"build-an-ai-powered-recruitment-assistant-using-amazon-bedrock","title":"AWS Demonstrates AI Recruitment Assistant Using Bedrock","url":"https://platform.waiboom.ai/article/2026/05/21/build-an-ai-powered-recruitment-assistant-using-amazon-bedrock","content_type":"aggregated_news","summary":"AWS published a reference architecture for building an AI-powered recruitment assistant using Amazon Bedrock that automates resume parsing, candidate scoring, skill assessment, and interview question generation. The solution addresses a documented problem where recruiters spend an average of 17.7 hours per vacancy on administrative work, with 45% of talent acquisition leaders spending more than half their time on automatable tasks. The system incorporates Amazon Bedrock Guardrails for PII anonymization, bias filtering, and prompt attack detection across a serverless architecture combining Lambda, API Gateway, DynamoDB, and S3.","published_at":"2026-05-21T17:02:22.685+00:00","updated_at":"2026-05-21T17:02:39.422305+00:00","source":{"url":"https://aws.amazon.com/blogs/machine-learning/build-an-ai-powered-recruitment-assistant-using-amazon-bedrock/","name":"AWS Machine Learning Blog"},"featured_image":{"url":"https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2026/04/24/ML-18419-image-1.jpeg","alt":null},"categories":[{"name":"AI Safety & Alignment","slug":"ai-safety-alignment"},{"name":"AI for Business","slug":"ai-for-business"},{"name":"AI Risk & Security","slug":"ai-risk-security"},{"name":"Generative AI","slug":"generative-ai"},{"name":"AWS","slug":"aws"}]}]}