Job description req id: * we are currently seeking a ai solution analyst to join our team in tijuana, baja california (mx-bcn), mexico (mx).
job title: ai solution analyst – commercial intelligence platform project overview this project establishes a centralized, ai-powered commercial intelligence platform designed to accelerate collaboration and enable data-driven decision-making for sales teams.
by integrating molecule intelligence, commercial data, and opportunity insights into an intuitive interface, the platform empowers sales agents to identify collaboration partners, uncover share gain opportunities, and engage clients with actionable insights.
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.
role summary the ai data integration analyst serves as the bridge between business intelligence, data engineering, and ai application teams—ensuring that the large language model (llm), such as gpt, interacts effectively with the modeled dataset to deliver accurate, relevant, and compliant business insights.
this role focuses on context design, knowledge curation, prompt engineering, and ai evaluation, ensuring that gpt-generated insights are business-aligned, secure, and governed responsibly.
key responsibilities 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.
key deliverables ? Llm interaction design framework: comprehensive documentation outlining how gpt connects to datasets, including prompt templates and retrieval logic.
? Knowledge base configuration: structured and curated commercial domain knowledge ensuring accurate gpt responses.
? Evaluation scripts