AI/ML Solutions Architect

Architect

1. Design and implement advanced AI/ML solutions including Generative AI models, LLM driven systems, and Agentic AI workflows, to address complex enterprise requirements and deliver measurable business value. 2. Architect and deploy scalable RAG pipelines by integrating embeddings, vector databases, and retrieval layers to ensure highly accurate, context aware, and domain grounded AI responses. 3. Continuously optimize AI model performance through systematic evaluation, prompt engineering, fine tuning techniques, and responsible AI practices to minimize hallucinations and enhance reliability. 4. Build and manage end to end ML pipelines covering data ingestion, preprocessing, model training, validation, deployment, and monitoring using modern AI frameworks and cloud native platforms.

Experience Level

Senior Level