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The ideal candidate will have deep expertise in large-scale distributed systems, modern AI/ML architectures, LLMs, data engineering pipelines, and AWS-native services. This role involves partnering with cross-functional teams, understanding business challenges, and crafting end?to?end scalable, secure, and cost?optimized solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><br></p><p><strong>AI/ML & Generative AI Architecture</strong></p><ul><li>Architect and deliver <strong>end?to?end AI/ML solutions</strong> on AWS, covering data ingestion, training, inference, orchestration, monitoring, and governance.</li><li>Design and integrate <strong>LLM?based and Generative AI solutions</strong>, including retrieval-augmented generation (RAG), prompt workflows, and production deployment strategies.</li><li>Develop <strong>feature engineering strategies</strong> and scalable data pipelines to support ML training and real-time inference workloads.</li><li>Lead technical discussions and provide guidance on <strong>AI/ML best practices</strong>, model lifecycle, optimization, MLOps, and model governance.</li></ul><p><br></p><p><strong>AWS 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