Generative Ai Architect Aws, Llms, Genai Bengaluru (India)

About the Role We are seeking a highly experienced Generative AI Architect to lead the design and development of enterprise-scale AI platforms leveraging Large Language Models (LLMs) and advanced Generative AI technologies. The ideal candidate will architect scalable, secure, and cloud-native solutions for processing unstructured data and generating structured business outputs. Role & responsibilities Design and architect end-to-end Generative AI solutions and AI platforms. Lead the implementation of LLM-based applications using state-of-the-art AI technologies. Architect scalable systems for processing unstructured data, including PDFs and technical documents. Drive model selection, integration, optimization, and deployment of LLM and Transformer-based models. Design and implement cloud-native solutions using AWS services. Develop robust data pipelines to support AI/ML workloads. Ensure product security, governance, and compliance across AI solutions. Collaborate with data scientists, software engineers, and product teams to deliver AI-driven business solutions. Required Skills Generative AI Architecture Large Language Models (LLMs) Transformer Models AWS Cloud Architecture AWS Bedrock EC2 EKS (Kubernetes) Microservices Architecture Data Pipeline Engineering Retrieval-Augmented Generation (RAG) Prompt Engineering AI Platform Development Product Security API Integration MLOps Experience 10+ years of overall software/product engineering experience. Robust hands-on experience designing and deploying enterprise AI/GenAI solutions. Experience in Cloud-native architecture on AWS. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field. Experience building enterprise-scale AI products and platforms. Solid stakeholder management and technical leadership skills. .