About the Role :We are seeking a highly experienced Generative AI Architect to define and drive the enterprise-wide architecture and implementation of Generative AI solutions.The candidate will be responsible for designing scalable, secure and high-performing AI architectures leveraging LLMs, Azure Cloud, Microsoft Copilot and Retrieval-Augmented Generation (RAG).The role requires strong technical expertise, architectural leadership and the ability to translate business requirements into robust AI solutions.Key Responsibilities :- Define and own the end-to-end architecture and technology roadmap for enterprise Generative AI solutions.- Design scalable LLM-based architectures leveraging Azure OpenAI and other Azure AI services.- Architect enterprise-grade RAG solutions, covering data ingestion, chunking, embeddings, vector databases, retrieval optimization and response generation.- Design and implement Microsoft Copilot integrations and customized enterprise Copilot solutions.- Establish architectural standards, design principles and best practices for GenAI adoption.- Drive model selection, prompt engineering, fine-tuning strategies and LLM performance optimization.- Design secure and scalable AI solutions with appropriate governance, access controls, data privacy and responsible AI practices.- Evaluate emerging GenAI technologies,



frameworks and platforms to identify opportunities for enterprise adoption.- Provide technical leadership to engineering teams and oversee solution design, development and deployment.- Collaborate with business stakeholders, product teams and senior leadership to align AI architecture with organizational objectives.- Define standards for observability, model evaluation, latency, scalability and cost optimization.Required Skills & Qualifications:- 12 - 14 years of overall experience in software engineering, solution architecture, AI/ML or related domains.- Robust expertise in Generative AI, LLMs and enterprise AI solution architecture.- Extensive experience designing and implementing RAG-based solutions.- Strong hands-on experience with Microsoft Azure Cloud and Azure OpenAI Service.- Experience architecting Microsoft Copilot and Copilot Studio solutions.- Strong proficiency in Python and AI application development.- Expertise in vector databases, embedding models, semantic search and advanced retrieval techniques.- Understanding of LLM orchestration frameworks such as LangChain, LlamaIndex or Semantic Kernel.- Experience with cloud architecture, distributed systems, API integrations and microservices.- Strong understanding of AI security, governance, responsible AI and enterprise deployment practices.- Proven experience in defining technical architecture, leading engineering teams and driving large-scale AI implementations. (ref:hirist.tech)

📌 AI ML Architect (Bengaluru)
🏢 Hexaware Technologies
📍 Bengaluru