AWS Serverless Architect – Bedrock & AI Integration

AWS Serverless Architect – Bedrock & AI Integration

Location : USA – Bay Area, California

Work Type : Full-Time (Hybrid / On-site)

Experience Required : 8–15 Years in Cloud Architecture and AI Systems

Compensation : USD 130,000 – 170,000 Annual

Eligibility : Any Visa (Excluding OPT)

No-Poach Client : Redwood

Job Overview

A leading global technology and consulting firm is seeking an AWS Bedrock Architect to design, implement, and scale Generative AI and RAG-based 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.

Key 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

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Engineering and Information Technology

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