AI Solution Architect

You are a seasoned AI Solution Architect with over 7 years of experience, including a strong background in Generative AI and Large Language Models (LLMs) such as OpenAI, Claude, and Gemini. Your role will involve architecting end-to-end LLM solutions for chatbot applications, semantic search, summarization, and domain-specific assistants. You will design modular, scalable LLM workflows, leverage Databricks Unity Catalog for centralized governance, and collaborate with data engineers to optimize model performance and deployment. **Key Responsibilities:** - Architect end-to-end LLM solutions for various applications. - Design modular, scalable LLM workflows. - Leverage Databricks Unity Catalog for centralized governance. - Collaborate with data engineers for dataset ingestion and optimization. - Integrate feedback loop systems for continuous refinement. - Optimize model performance, latency, and cost. - Oversee secure deployment of models in production. - Guide teams on data quality and responsible AI practices. **Qualifications Required:** - 7+ years in AI/ML solution architecture, with 2+ years focused on LLMs and Generative AI. - Strong experience with OpenAI, Claude, Gemini, and integrating LLM APIs. - Proficiency in Databricks, including Unity Catalog, Delta Lake, MLflow. - Deep understanding of data governance and metadata management. - Hands-on experience with chatbot frameworks and LLM orchestration tools. - Strong Python development skills. - Familiarity with feedback loops and continuous learning patterns. - Experience deploying models in cloud-native and hybrid environments. As an AI Solution Architect at NTT DATA, you will be part of a global innovator of business and technology services, committed to helping clients innovate, optimize, and transform for long-term success. With a diverse team across 50 countries and a focus on digital and AI infrastructure, NTT DATA is a trusted partner for organizations worldwide. As part of the NTT Group, a leader in R&D investment, you will contribute to shaping the digital future confidently and sustainably. ,