Agentic AI Architect

Job Summary We are seeking an experienced Agentic AI Architect to design, build, and scale next-generation AI solutions leveraging LLMs, AI Agents, Multi-Agent Systems, RAG architectures, and Generative AI platforms. The ideal candidate will have strong expertise in AI/ML architecture, cloud platforms, orchestration frameworks, and enterprise application integration. This role will be responsible for defining enterprise AI strategy, architecting autonomous AI agent ecosystems, ensuring governance and security, and driving AI transformation initiatives across business domains. Key Responsibilities AI & Agentic Architecture Define enterprise-wide Agentic AI architecture and technology roadmap. Design and implement autonomous AI Agents and Multi-Agent Systems for complex business workflows. Architect solutions using LLMs, RAG (Retrieval-Augmented Generation), Knowledge Graphs, and Vector Databases. Establish reusable AI frameworks, accelerators, and reference architectures. Design AI agent collaboration, planning, reasoning, memory, and tool integration capabilities. Generative AI Solutions Architect enterprise GenAI solutions using OpenAI, Azure OpenAI, Anthropic Claude, Gemini, Llama, or similar models. Design prompt engineering, AI orchestration, and model optimization strategies. Build AI copilots, virtual assistants, intelligent automation, and decision-support systems. AI Engineering & Cloud Lead deployment of AI solutions on Azure, AWS, or GCP. Design scalable AI infrastructure using Kubernetes, Docker, MLOps, and CI/CD pipelines. Implement AI observability, monitoring, guardrails, governance, and security frameworks. Integrate AI agents with enterprise applications, APIs, databases, ERP, CRM, and workflow platforms. Stakeholder & Leadership Partner with business leaders to identify high-value AI use cases. Drive AI innovation workshops, architecture reviews, and technical mentoring. Lead technical teams comprising AI Engineers, Data Scientists, ML Engineers, and Developers. Present AI transformation strategies to CXO-level stakeholders. Mandatory Skills Agentic AI & GenAI Agentic AI Architecture Multi-Agent Systems Large Language Models (LLMs) Prompt Engineering AI Agent Frameworks (LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex) Retrieval-Augmented Generation (RAG) Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Knowledge Graphs AI/ML Technologies Python Machine Learning & Deep Learning NLP Model Fine-tuning AI Evaluation Frameworks Cloud & DevOps Azure AI Services / Azure OpenAI (Preferred) AWS Bedrock / SageMaker Google Vertex AI Docker & Kubernetes CI/CD Pipelines MLOps Platforms (MLflow, Kubeflow) ntegration & Data REST APIs Event-Driven Architecture Microservices Data Lakes & Data Warehouses SQL & NoSQL Databases