AI Architect

Skills: AI Agents, AI/LLM,AWS Bedrock Architect End-to-end AI/ML platforms, Cloud infrastructure, RAG etc.

Design and implement end-to-end AI/ML architectures and develop production-ready solutions using modern AI frameworks and cloud-native technologies. Architect, provision, and manage secure, scalable, and resilient AI infrastructure on AWS using Terraform and Infrastructure as Code principles. Build, optimize, and deploy advanced multi-agent systems and orchestration frameworks leveraging AWS Agent Core, Amazon Bedrock Agents, and Knowledge Bases. Develop and maintain robust data, model, and inference pipelines that integrate LLMs, vector databases, and enterprise applications. Implement Retrieval-Augmented Generation (RAG) solutions and optimize prompt engineering strategies for enterprise AI use cases. Establish and drive best practices across AI Engineering, MLOps, and LLMOps to ensure scalable, reliable, and governed AI deployments. Provide technical leadership, mentor engineering teams, and collaborate with business and technology stakeholders to deliver AI initiatives successfully. Required Skills & Qualifications Strong experience designing and deploying AI/ML and Generative AI solutions from proof of concept through production implementation.