Building on the success of the Commercial Connections Dashboard, the initiative expands adoption through an embedded AI experience, improving collaboration speed, win rates, and deal size while aligning with the organization's strategic direction. Act as the integration point between data engineering, business intelligence, and AI development teams to enable seamless interaction between enterprise data and LLMs. Define, design, and curate the context and knowledge base that powers GPT's ability to provide accurate, relevant business insights. Collaborate with Data Analysts and SMEs to structure, tag, and prepare data elements that feed into the GPT environment. Develop and refine prompt engineering strategies and context frameworks aligned with business objectives. Conduct LLM evaluation and performance testing, measuring response accuracy, completeness, and contextual relevance. Partner with IT, data governance, and compliance teams to ensure secure, ethical, and compliant AI behavior within enterprise systems. Prepare and maintain documentation, AI performance dashboards, and prompt libraries for standardized and scalable usage. Skilled in curating, structuring, and managing contextual datasets that improve AI accuracy and reliability. Experience mapping business ontologies, taxonomies, and metadata for effective LLM context construction.



Deep understanding of how data context influences AI reasoning and output quality. Experience working with Databricks, AWS, and ChatGPT or similar AI/ML environments for model deployment and testing. Extensive experience collaborating across business, IT, and analytics teams to align AI capabilities with strategic goals. Proven ability to apply analytical thinking and problem-solving to evaluate AI behavior and identify optimization areas. Strong understanding of commercial data and sales intelligence to contextualize GPT insights. Commitment to responsible AI principles, including governance, data security, and ethical compliance. Exceptional communication and documentation skills for explaining AI frameworks and findings to non-technical audiences. Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, or related discipline (Master's preferred). Minimum 5 years of individual, hands-on experience in each of the following areas: LLM Integration & Prompt Engineering Context and Knowledge Base Design LLM Evaluation & Testing Data Modeling & Integration Cloud & AI Environment Operations Business Collaboration & Communication Prior experience in commercial analytics, sales intelligence, or AI-driven data platforms is highly desirable.

📌 AI Solution Analyst (Ciudad Apodaca)
🏢 Ntt Data
📍 Ciudad Apodaca