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Tracks
5 Enterprise Problem Formulations • Scalable Cloud Architectures

Enterprise Tracks & Cloud Blueprints

Review detailed problem statements, recommended AWS services, architectural blueprints, and evaluation rubrics across all 5 engineering challenges.

TRACK 01Enterprise Challenge Track

Agentic AI & Generative Intelligence

Architect autonomous multi-agent swarms, self-healing developer pipelines, and production generative AI workflows powered by Amazon Bedrock and Claude.

Recommended AWS Cloud Reference Blueprint

Autonomous Multi-Agent Bedrock Architecture — Suggested architecture for maximum scoring across Technical Architecture (30 pts).

Component 1

Amazon Bedrock

Claude 3.5 Sonnet & Titan Foundation Models with tool-calling

Component 2

Amazon OpenSearch Serverless

Vector index for dense semantic document embeddings

Component 3

AWS Lambda (Python 3.12)

Stateless tool execution sandbox with deterministic guardrails

Component 4

Amazon DynamoDB

Persistent session memory & multi-turn dialog checkpointing

Sample Challenge Problem Statement

"Build a self-healing CI/CD agent swarm that intercepts failing GitHub Action runs, analyzes CloudWatch stack traces, performs root-cause analysis, and opens an automated PR fixing the code."

Core Evaluation Focus Themes

Multi-agent collaborative workflows & task routing
Production-grade hybrid RAG with reranking & provenance
Autonomous self-healing DevOps & CI/CD agents
Multimodal intelligence (vision, spatial audio, and sensory streams)

Recommended Stacks & Toolchains

Amazon BedrockAWS LambdaAmazon OpenSearchLangChain / LlamaIndexClaude 3.5 SonnetFastAPI
Jury Evaluation Criteria for this Track:
  • Modularity of cloud architecture and avoidance of hardcoded credentials
  • Live demonstrable endpoints during Checkpoint 2 and Checkpoint 3
  • Clear mathematical or algorithmic defense during the 7-minute jury pitch
  • 100% student code authenticity verified via commit telemetry
Zero registration fee. Free sandbox AWS credits provided to all shortlisted teams.