AI Architect

Job description

Job Title: AI Architect – GenAI & Agentic AI (AWS) Experience: 15+ Years About the Role We are looking for an experienced AI Architect to design and deliver enterprise-scale Generative AI and Agentic AI solutions on AWS. This role focuses on building autonomous AI systems, multi-agent architectures, and RAG-based solutions, ensuring scalability, security, and performance in production environments. Key Responsibilities • Design end-to-end GenAI and Agentic AI architectures • Build and guide implementation of multi-agent AI systems (LangChain, LangGraph, etc.) • Architect RAG pipelines using embeddings and vector databases • Design and deploy solutions using AWS services (Bedrock, Lambda, S3, OpenSearch, ECS/EKS) • Establish scalable, serverless, event-driven architectures • Define data ingestion and knowledge management frameworks • Implement AI governance, security, and responsible AI practices • Drive LLMOps/MLOps, monitoring, and cost optimization • Provide technical leadership and collaborate with business stakeholders Required Skills • Strong experience in Python and AI/ML system development • Expertise in AWS (Bedrock, Lambda, S3, OpenSearch, ECS/EKS) • Hands-on experience with GenAI frameworks (LangChain, LangGraph, etc.) • Strong understanding of Agentic AI concepts (planning, reasoning, memory, tool use) • Experience with RAG pipelines and vector databases