Job Details

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

• 8–15 years of total IT experience with strong focus on cloud and AI architecture.
• Minimum 1 year of hands-on experience with Generative AI and LLM-based solutions.
• Proven experience architecting and deploying serverless applications on AWS at scale.
• Hands-on experience with AWS Bedrock Agents in production environments.
• Strong knowledge of RAG architectures and agentic workflow design.
• Proficiency in AWS Lambda (Python) and AWS API Gateway.
• Experience with AWS Fargate, CDK, and CloudFormation for multi-service environments.
• Expertise in vector databases and semantic search implementations.
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Must currently reside in the Bay Area, CA.
• Stable career history — minimum 3 years tenure with past employers.

Nice-to-Have Skills

• Experience with AI orchestration frameworks or LLM toolchains.
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Knowledge of AWS SageMaker, Step Functions, and EventBridge.
• Experience deploying multi-agent systems using Bedrock or custom orchestration layers.
• Strong presentation and documentation skills for executive-level communication.

Technical Qualifications

• Deep understanding of AWS Bedrock components, Generative AI orchestration, and agent patterns.
• Expertise in CI/CD pipelines, DevOps, and distributed system architecture.
• Familiarity with data security and compliance within AI ecosystems.
• Ability to troubleshoot complex distributed applications across AWS services.