Description

• Core Model Frameworks
  • 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:

Possible Position Titles:

• Generative AI Architect
• GenAI Solutions Architect
• AI Platform Architect
• Enterprise AI Architect
• Principal AI Engineer
• GenAI Engineering Lead

Key Skills Expected:

• 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

MLOps / AI Platform Engineering
API & Microservices Architecture
Data Engineering Integration
AI Security & Governance

Key Skills

Education

Bachelor's degree