AI Agent Architect — Bedrock, RAG & AWS

Realign Llc; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Realign Llc is seeking an experienced Agent Builder in Dallas, TX or Malvern, PA to design, develop, and deploy AI agents using Amazon Bedrock. You will build conversational AI workflows and RAG solutions, integrating with enterprise data and AWS services.

The role emphasizes prompt engineering, testing, performance tuning, and implementing security and governance best practices across cloud environments. A strong Python background and API integration experience are required.

Qualifications

• 6-8 years of experience in Software Development, Cloud, or AI/ML.
• Hands-on experience with Amazon Bedrock.
• Strong Python programming skills.
• Experience building chatbots, virtual assistants, or AI agents.
• Knowledge of RAG, vector databases, and API integrations.
• Understanding of AWS services and security best practices.

Responsibilities

• Design, develop, and deploy AI agents using Amazon Bedrock.
• Build conversational AI and task-based agent workflows.
• Develop Retrieval-Augmented Generation (RAG) solutions using enterprise data.
• Integrate agents with APIs, enterprise applications, and AWS services.
• Perform prompt engineering, testing, and performance optimization.
• Implement security, access controls, and governance best practices.

Skills

Python

AWS Bedrock

Chatbots / AI agents

API integrations

RAG

Vector databases

Prompt engineering

Security best practices

Tools

Amazon Bedrock

LangChain

LlamaIndex

AWS Lambda

OpenSearch

API Gateway

S3

Job description

Realign Llc is seeking an experienced Agent Builder in Dallas, TX or Malvern, PA to design, develop, and deploy AI agents using Amazon Bedrock. You will build conversational AI workflows and RAG solutions, integrating with enterprise data and AWS services.

The role emphasizes prompt engineering, testing, performance tuning, and implementing security and governance best practices across cloud environments. A strong Python background and API integration experience are required.