Cloud Infrastructure
• Amazon Bedrock – Hosts and orchestrates LLMs, agent workflows, tool-calling, and generative AI capabilities.
• Amazon SageMaker – Trains, fine tunes, deploys, and monitors ML models used by agentic systems.
AI & Analytics
• Python ML Frameworks (TensorFlow, PyTorch) – Used to build, train, and experiment with predictive, ranking, and embedding models.
• Generative AI – Powers agent reasoning, content creation, scenario simulation, and autonomous task execution.
• Data Science Pipelines (ML logic) – Provides model training, scoring, feature engineering, and NBA/segmentation algorithms for agent decisions.
Data Layer
• Elasticsearch – Enables fast retrieval and context grounding (RAG) for agent responses using embeddings and indexed data.
• Big Data Platforms (AI/ML portion only) – Source of training data and features consumed by ML models.
