AWS Bedrock Architect

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

Technical Qualifications

- 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