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