




**Location:** Mexico City – Central Office **Years of Experience:** 2 years or more **Position Purpose:** The coordinator will ensure that all agents are developed under a unified strategy; furthermore, this role will optimize resources to correctly prioritize development. Additionally, it will seek process optimization through agent-based models. With this strategy, a potential reduction of 15% in personnel focused on repetitive and sequential tasks can be estimated. The AI Development Coordinator’s primary objective is to feed models with business rules and standards so that decisions are always aligned with compliance. The mission of the AI and Supply Chain Agents Strategy Leader is to lead and oversee the full lifecycle of artificial intelligence solutions—from conceptualization through end-to-end (E2E) implementation within the Control Tower. This role is strategic, acting as the principal architect of the automation and optimization vision—ensuring that AI capabilities not only enhance operational efficiency but also fundamentally transform visibility and resilience across the entire supply chain network, delivering direct and measurable impact on business outcomes. **A Day in the Life of...** * Coordinate Implementation and Deployment: Lead cross-functional teams (data scientists, software engineers, supply chain domain experts) to ensure successful AI agent implementation—from prototype phase through production deployment. * Manage Change and Adoption: Serve as an AI ambassador, communicating the value of these solutions to key stakeholders and facilitating adoption of new tools and processes through change management. * Design E2E Solutions: Oversee the design of scalable and robust AI architectures, ensuring proposed solutions integrate seamlessly with existing systems and business objectives. * Lead Strategic Conceptualization: Define the AI roadmap for the Control Tower, identifying high-impact opportunities for automation and data-driven decision-making. * Optimize Performance and Value: Monitor AI agent performance in production and oversee continuous improvement to ensure maximum value, KPI impact, and return on investment. **What Will Make You Successful** * Degree in Actuarial Science, Computer Systems, Robotics, and/or Programming. * Proficiency in SQL and Python. * Analytical capability


