Expert Agent Builder Amazon Bedrock (Amazon Q / QuickSight)

Expert Agent Builder - Amazon Bedrock (Amazon Q / QuickSight)

Location:

Malvern, PA (Local or Nearby Candidates Preferred) Job Summary We are seeking an experienced Expert Agent Builder to design, develop, and scale enterprise-grade AI agents using Amazon Bedrock and modern Generative AI frameworks. The ideal candidate will have strong expertise in building autonomous AI agents, implementing Retrieval-Augmented Generation (RAG) architectures, and integrating AI-driven analytics solutions using Amazon Q for Business and Amazon QuickSight . This role requires hands-on experience with agent orchestration, prompt engineering, LLM integrations, AWS-native AI services, and secure enterprise deployments. Key Responsibilities AI Agent Development Design, develop, and deploy production-ready AI agents using Amazon Bedrock and foundation models. Build autonomous and task-oriented agents capable of planning, reasoning, tool usage, and multi-step execution. Implement agentic workflows using frameworks such as LangChain, Semantic Kernel, LlamaIndex, or custom orchestration layers. Develop scalable RAG pipelines leveraging enterprise data sources and vector databases. Amazon Q for Business Configure, customize, and extend Amazon Q for Business for enterprise knowledge discovery and workflow automation. Develop custom connectors, personas, permissions, and access control strategies. Enable conversational enterprise search and intelligent workflow experiences. Analytics & Insights Integration Integrate AI agents with Amazon QuickSight to enable conversational analytics, reporting, and business insights. Build data-driven AI experiences that support enterprise decision-making. Prompt Engineering & LLM Optimization Create and optimize prompts, prompt chains, system prompts, and context management strategies. Improve LLM output quality, reliability, and response consistency. Continuously evaluate and fine-tune prompts based on business use cases and model performance. AWS Architecture & Governance Design secure, scalable, and enterprise-grade AWS AI architectures. Implement AI guardrails, governance, and responsible AI practices. Ensure compliance with enterprise security standards and best practices. Required Skills & Qualifications 7+ years of experience in Software Engineering, Cloud Engineering, AI/ML, or related fields. Hands-on expertise with Amazon Bedrock, including: Foundation model integration Bedrock Guardrails Bedrock Knowledge Bases Model customization Strong experience building autonomous AI agents using: LangChain Semantic Kernel LlamaIndex Custom orchestration frameworks Strong understanding of: LLM behavior RAG architecture Agentic AI workflows Multi-agent systems Advanced prompt engineering skills including prompt chaining and optimization. Strong Python programming and API integration experience. Experience with vector databases such as: Pinecone FAISS OpenSearch Vector Engine Strong AWS cloud and security expertise. Experience deploying AI/GenAI applications in enterprise environments. Preferred Qualifications Experience with Amazon Q for Business implementations. Experience integrating Amazon Bedrock with Amazon QuickSight. Familiarity with regulated industry environments. Experience working within AI Centers of Excellence (CoE). AWS Certifications preferred. Technologies & Tools Amazon Bedrock Amazon Q for Business Amazon QuickSight LangChain Semantic Kernel LlamaIndex Python AWS Services Vector Databases (FAISS, Pinecone, OpenSearch) REST APIs Generative AI / Agentic AI