Lead architecture and delivery of agentic AI systems, own the context layer (memory, GraphRAG, knowledge graphs), build robust RAG and retrieval infrastructure, translate client requirements into technical designs, define reusable agentic patterns, and establish observability and evaluation pipelines for production AI.

Design, build, and operate scalable full-stack software platforms for analytics and AI. Implement React/Next.js front ends with tests, develop Python back-end services and APIs, deploy and monitor cloud-native applications on AWS/Azure/GCP, manage Docker and Kubernetes containers, and maintain CI/CD pipelines. Collaborate with data scientists and cross-functional teams while ensuring data protection, compliance, and high-quality, maintainable code.