Job Description:
Questions below need to be answered and submitted on the resume.
How does agentic AI differ from traditional AI?
What are the main components of an AI Agent?
What is the control loop in an AI agent?
What is planning in Agentic AI?
How do agents avoid conflicts?
Agent Design Development Design| build| and deploy production-ready AI agents using Amazon Bedrock and foundation models.
Implement agentic workflows including planning| tool use| memory| and multi-step reasoning.
Build RAG pipelines leveraging enterprise data sources.
Amazon Q for Business Configure and extend Amazon Q for Business for enterprise knowledge discovery and workflows.
Customize connectors| personas| and access controls.
Analytics Insights (QuickSight) Integrate agents with Amazon QuickSight for conversational analytics and insights.
Architecture Governance Build secure| scalable AWS architectures and implement AI guardrails.
Essential Skills:
Expert Agent Builder Amazon Bedrock (Amazon Q QuickSight)| We are seeking an Expert Agent Builder to design| build| and scale AI-powered agents using Amazon Bedrock that deliver measurable business value across the enterprise.
This role will focus on developing secure| enterprise-grade conversational and task-oriented agents| with a strong preference for candidates experienced with Amazon Q for Business and analytics-driven use cases using Amazon QuickSight.
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Data Analytics & Insights : ignio AIOps~AI Agents