AWS Bedrock Architect
Job Description
Job Description
Experience: 8 - 15 Years
Location: USA - Dallas, New Jersey, Bay Area
Must Have:- Generative AI, AWS Bedrock, AWS Architect, Artificial Intelligence Developer
- Minimum 1 years of hands-on experience with Generative AI and LLM-based solutions
- AWS Architect - Proven experience architecting and deploying serverless applications on AWS at scale
- Experience with Bedrock Agents in production environments
- Extensive hands-on experience with AWS Bedrock Agents including action groups, knowledge bases, and orchestration patterns
- Strong expertise in RAG architectures with proven experience extending to agentic workflows
- Proficiency in AWS Lambda development with Python, including complex event-driven architectures
- Deep knowledge of AWS API Gateway for REST and WebSocket APIs, including custom authorizers and integration patterns
- Experience with AWS Fargate for containerized workloads and long-running agent processes
- Strong expertise in AWS CDK (TypeScript or Python) and CloudFormation for infrastructure automation
- Deep knowledge and experience of vector databases and semantic search integration with Bedrock knowledge bases
- Experience with both SQL databases (RDS, Aurora) and NoSQL solutions (DynamoDB)
- Understanding of prompt engineering, function calling, and agent reasoning patterns
- Proficiency in CI/CD pipelines for serverless applications and container deployments
- Strong problem-solving abilities with systematic approaches to distributed system challenges
- Excellent communication skills to explain complex AI architectures to diverse audiences
- Bachelor's or Master's degree in Computer Science, Information Technology, or related technical field
- Minimum 1 years of hands-on experience with Generative AI and LLM-based solutions
- Proven experience architecting and deploying serverless applications on AWS at scale
- Demonstrated expertise building RAG systems and extending them to agent-based architectures
- Strong track record with AWS CDK/CloudFormation for complex multi-service deployments
- Experience with Bedrock Agents in production environments
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