Generative AI (GenAI) Architecture, but it is only a high-level overview and not a complete JD by itself.
It describes the concept of GenAI architecture:
- 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
Pay: $60.00 - $70.00 per hour
Work Location: In person
