Agent Builder Expert (AI Agents / Amazon Bedrock)

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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
  
  

Mandatory Skills

Required Skills & Qualifications

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