Gen AI Architect

About the role

Roles & Responsibilities: Define and own end-to-end GenAI architecture, including LLM orchestration, agent frameworks, and enterprise integrations. Design scalable, modular solutions using LLMs, embeddings, vector databases, and retrieval mechanisms. Architect agent-based and multi-agent systems for autonomous reasoning, planning, and workflow execution. Establish GenAI design patterns such as RAG, conversational AI, document intelligence, and context-aware systems. Lead integration of GenAI solutions with enterprise systems using APIs, microservices, and event-driven architectures. Define prompt engineering strategies, prompt lifecycle management, and context orchestration frameworks. Implement Responsible AI practices including governance, explainability, security, and compliance. Design human-in-the-loop architectures with feedback loops, validation checkpoints, and fallback mechanisms. Establish monitoring and observability for model accuracy, hallucination detection, drift, and cost optimization. Collaborate with business stakeholders to identify high-impact AI use cases and define transformation roadmaps. Standardize GenAI architecture practices, reusable components, and governance policies. Mentor engineering teams on GenAI, LLMOps, and AI-first solution design EA Number : 11C4879

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Company Intel

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