Agent Builder Expert (AI Agents / Amazon Bedrock)

Job Title:

Agent Builder Expert (AI Agents / Amazon Bedrock)

Location:

Malvern, PA Duration:

12+

Months Experience Required:

8-10+ Years Important Submission Requirement The below questions must be answered and included on the candidate s resume/submission: 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? Job Summary We are seeking an Expert Agent Builder to design, develop, and deploy production-grade AI agents using Amazon Bedrock , Amazon Q for Business , and AWS-native AI services. The ideal candidate will have strong expertise in agentic AI architectures, RAG pipelines, enterprise AI governance, tool-using agents, and analytics integrations . This role focuses on building secure, scalable, enterprise-grade conversational and task-oriented AI agents that deliver measurable business value. Key Responsibilities AI Agent Design & Development Design, build, and deploy production-ready AI agents using: Amazon Bedrock Foundation Models / LLMs AWS-native AI services Implement advanced agentic workflows including: Planning Tool usage Memory Multi-step reasoning Decision orchestration Task execution workflows Build secure enterprise-grade conversational and task-oriented agents RAG & Knowledge Systems Design and implement Retrieval-Augmented Generation (RAG) pipelines leveraging: Enterprise knowledge repositories Internal structured/unstructured data Search and vector retrieval architectures Build enterprise knowledge access workflows for AI agents Amazon Q for Business Configure, customize, and extend Amazon Q for

Business Implement:

Enterprise knowledge discovery workflows Conversational business assistants Role/persona-driven AI experiences

Configure:

Connectors Access controls User permissions Enterprise search integrations Analytics & Conversational Insights Integrate AI agents with Amazon QuickSight for: Conversational analytics Data-driven business insights Natural language analytical interactions Build analytics-enabled intelligent assistants Architecture & Governance Design secure, scalable AWS AI architectures

Implement:

AI guardrails Governance frameworks Security controls Responsible AI design practices Ensure enterprise scalability, observability, reliability, and compliance Required Skills & Qualifications Mandatory Skills Strong hands-on expertise in: Amazon Bedrock ( mandatory ) AI Agent development / Agentic AI architectures ( mandatory ) Foundation Models / LLM implementations Enterprise conversational AI development AWS AI Services Strong experience with: Amazon Q for Business Amazon QuickSight AWS cloud architecture Secure enterprise AI deployment AI Engineering Expertise Strong understanding of: Agentic AI frameworks Planning architectures Tool-calling agents Memory architectures Multi-agent orchestration RAG architectures Prompt engineering / orchestration Architecture Skills Experience designing: Scalable AWS architectures Secure AI systems Enterprise governance models AI guardrail implementations Preferred Skills Analytics-driven conversational AI use cases Enterprise AI governance programs Multi-agent enterprise workflow systems Production AI observability and monitoring Soft Skills Strong architectural thinking Excellent communication skills Stakeholder collaboration experience Strong problem-solving mindset Key Skills Amazon Bedrock AI Agents Agentic AI Amazon Q for Business Amazon QuickSight RAG Foundation Models AWS AI Architecture Enterprise AI Governance