Description
Title: Lead AI Architect Responsibilities - Designs enterprise-wide AI infrastructure, scalable agentic workflows, and large language model (LLM) orchestration architectures. - Establishes AI governance, safety guardrails, ethical AI policies, and secure data access layers for model training and inference. - Translates complex business requirements into high-fidelity technical blueprints for the production-ready scaling of AI solutions. Skills & Tools - AI Architecture & Orchestration: LangChain, LlamaIndex, Semantic Kernel, Vector Databases (Pinecone, Milvus, Odrant, Weaviate). - Cloud Platforms: Azure OpenAI Service, AWS Bedrock, Google Cloud Vertex AI. - Core Skills: Model System Design, Retrieval-Augmented Generation (RAG), Python, Enterprise Integration Patterns. Certifications - Microsoft Certified: Azure Solutions Architect Expert - AWS Certified Solutions Architect – Professional - Google Cloud Professional Cloud Architect