AI Architect | AWS Bedrock | Serverless & RAG

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

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.

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.

• 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 Web Socket APIs.
• Deploy and manage AWS Fargate for containerized and long‑running AI processes.
• Automate infrastructure provisioning using AWS CDK (Type Script or Python) and Cloud Formation.
• Integrate vector databases and semantic search solutions with Bedrock Knowledge Bases.
• Manage RDS, Aurora, and Dynamo
  
  DB 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.

• 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 Cloud Formation 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.

• Experience with AI orchestration frameworks or LLM tool chains.
• Familiarity with Lang Chain, Llama Index, or similar frameworks.
• Knowledge of AWS Sage Maker, Step Functions, and Event Bridge.
• Experience deploying multi‑agent systems using Bedrock or custom orchestration layers.
• Strong presentation and documentation skills for executive‑level communication.

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