Principal AWS Architect – Generative AI, LLMs & Knowledge Bases

Overview

A leading global technology and consulting firm is seeking an AWS Bedrock Architect to design, implement, and scale Generative AI and Retrieval-Augmented Generation (RAG) architectures leveraging AWS Bedrock. The ideal candidate will have hands-on expertise in building agentic workflows, knowledge bases, and serverless applications, and will be responsible for developing high-performance, production-grade Generative AI systems using AWS native services. This is a senior-level, highly technical architecture role requiring strong expertise across AWS Bedrock, Lambda, Fargate, CDK, and vector database integrations, with the ability to guide development teams in deploying robust AI workloads.

Responsibilities

• Architect and implement scalable Generative AI and RAG (Retrieval-Augmented Generation) systems on AWS Bedrock.
• Design and manage Bedrock Agents including action groups, knowledge bases, and agent orchestration patterns.
• Develop and optimize AWS Lambda functions (Python) for event-driven and agentic workloads.
• Design and secure AWS API Gateway integrations for REST and WebSocket APIs.
• Deploy and manage AWS Fargate for containerized and long-running AI processes.
• Automate infrastructure provisioning using AWS CDK (TypeScript or Python) and CloudFormation.
• Integrate vector databases and semantic search solutions with Bedrock Knowledge Bases.
• Manage RDS, Aurora, and DynamoDB for AI system data storage.
• Apply advanced prompt engineering, function calling, and agent reasoning strategies.
• Build and maintain CI / CD pipelines for serverless and container-based deployments.
• Collaborate with cross-functional teams to ensure security, scalability, and cost optimization of AI workloads.
• Present technical architectures and concepts to both technical and business stakeholders.

Must-Have Requirements

Nice-to-Have Skills

Technical Qualifications

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