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.
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
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.