Create comprehensive architectural designs aligned with business needs and technical constraints

Design an architecture that maps:

Business requirements → technical requirements → GenAI components → AWS services.

Typical constraints include:

• latency
• cost
• availability
• security
• data residency
• scalability
• model capability
• context requirements
• compliance
• integration requirements
• expected traffic
• response quality

A model that produces excellent answers may still be the wrong solution if:

• latency is too high
• cost is too high
• required data cannot leave a region
• the model does not support the required modality
• the application needs deterministic processing
• the system cannot meet availability requirements

Start with requirements before selecting services.

Business Requirement
       ↓
Functional Requirements
       ↓
Non-functional Requirements
       ↓
Architecture Options
       ↓
Model + Data + Retrieval + Application Design
       ↓
Trade-off Evaluation
       ↓
POC / Validation
       ↓
Production Architecture

• Amazon Bedrock
• Amazon SageMaker AI
• Amazon S3
• AWS Lambda
• Amazon API Gateway
• Amazon OpenSearch Service
• Amazon Aurora
• Amazon DynamoDB
• AWS Step Functions
• AWS Well-Architected Framework
• Generative AI Lens

Client
  ↓
API Gateway
  ↓
Application / Lambda
  ├── Bedrock FM
  ├── Knowledge / RAG
  │     ├── S3
  │     ├── Embeddings
  │     └── Vector Store
  └── Guardrails / Validation

Use this approach whenever the question gives:

• a business objective
• multiple constraints
• multiple possible AWS services
• a requirement for production deployment

Do not immediately choose a model or vector database before understanding:

• data source
• latency
• quality requirement
• scale
• compliance
• cost

• Choosing the most powerful FM automatically
• Designing around a service before understanding requirements
• Ignoring non-functional requirements
• Treating RAG as mandatory for every GenAI application
• Assuming fine-tuning is always better than prompting or RAG

Best architecture ≠ most sophisticated architecture.

The correct design is normally the one that satisfies the stated requirements with the appropriate complexity.

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