GenAI Architecture Developer Key Responsibilities System Design: Architect end-to-end GenAI solutions, including data ingestion pipelines, vector databases (e.g., Pinecone, Milvus), and model serving layers. LLM Orchestration: Build and optimize complex workflows using frameworks like LangChain, LlamaIndex, or AutoGPT to create autonomous agents and multi-step reasoning systems. Performance Optimization: Implement strategies for latency reduction, such as model quantization, caching, and load balancing, while managing token consumption costs. Security & Governance: Establish guardrails for Prompt Injection defense, data privacy (GDPR/HIPAA compliance), and AI ethics to prevent hallucinations and bias. Continuous Innovation: Stay at the forefront of the field, evaluating new foundation models (GPT-x, Claude, Gemini) and open-source alternatives (Llama 3+, Mistral). Required Technical Skills AI & Machine Learning Architecture: Deep understanding of Transformers, attention mechanisms, and...