- Design and define end-to-end architecture for Generative AI, AI/ML, and data science solutions.
- Develop architecture and technical roadmaps for Gen AI applications, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-powered automation.
- Leverage Data Science expertise to identify business use cases and translate them into scalable AI solutions.
- Evaluate and select appropriate AI models, frameworks, tools, and cloud platforms based on business and technical requirements.
- Design solutions involving LLMs, vector databases, embeddings, prompt engineering, and model integration.
- Define best practices for AI solution scalability, performance, security, governance, and cost optimization.
- Collaborate with Data Scientists, ML Engineers, Data Engineers, and business stakeholders to deliver end-to-end AI solutions.
- Provide technical leadership, architecture guidance, and recommendations to development teams.
- Ensure responsible AI practices, model monitoring, and production deployment standards.
📌 Gen AI Architect (Bengaluru)
🏢 Acme Services Private
📍 Bengaluru
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