GenAI Platform / Engineering - Architecture

• Large Language Models (LLMs)
• Transformer-based models
• Foundation models (GPT, Claude, Gemini, Llama, etc.)
• Data & Retrieval Layers
• Data ingestion pipelines
• Knowledge bases
• Vector databases
• Retrieval-Augmented Generation (RAG)
• Document processing
• Orchestration Layers
• Prompt management
• LLM workflows
• AI agents
• Tool integrations
• LangChain / LlamaIndex frameworks

For staffing purposes, a JD titled “GenAI Platform / Engineering - Architecture” would usually look for someone who can design and implement enterprise GenAI solutions, such as

• LLM Architecture
• RAG Architecture
• AI Agent Design
• Prompt Engineering
• Python
• LangChain / LlamaIndex
• Vector Databases (Pinecone, FAISS, Azure AI Search, Weaviate)
• Cloud AI Platforms:
• Azure OpenAI
• AWS Bedrock
• Google Vertex AI