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Define and lead AI/ML solution architecture aligned with business and enterprise objectives.
Design and implement Generative AI, LLM, RAG, and Agentic AI solutions for enterprise use cases.
Architect AI agents, multi-step workflows, orchestration, and intelligent automation solutions.
Design scalable RAG pipelines using vector databases, embeddings, retrieval, and knowledge sources.
Evaluate and integrate LLMs such as GPT, LLaMA, Claude, Gemini, BART, and T5.
Lead AI/ML solutions across NLP, Computer Vision, predictive analytics, anomaly detection, and intelligent automation.
Establish MLOps/LLMOps practices covering model development, deployment, monitoring, governance, and lifecycle management.
Design cloud-native AI solutions using Azure, AWS, or GCP.
📌 Ai Ml Architect Bengaluru (India)
🏢 NR Consulting
📍 India
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