Artificial Intelligence Manager (AI Manager) - (LATAM CANDIDATES ONLY)

Responsibilities

• Lead the development and execution of the company’s Artificial Intelligence strategy aligned with business objectives.
• Establish and lead the AI Committee, defining corporate policies, governance frameworks, and guidelines for the responsible use of AI and AI agents.
• Build and manage the internal AI community and promote AI First initiatives across the organization.
• Lead the implementation of enterprise AI platforms, models, and solutions using leading technologies and providers (Microsoft, Google, OpenAI, among others).
• Identify and drive opportunities to apply Generative AI and Large Language Models (LLMs) across strategic and operational business processes.
• Oversee the integration of AI solutions into critical business areas, ensuring scalability, security, and value generation.
• Define standards and best practices for AI architecture, data governance, security, ethics, and responsible AI adoption.
• Develop and manage AI training programs and digital transformation initiatives to increase AI adoption across the organization.
• Drive innovation by evaluating emerging AI technologies, trends, and business opportunities.
• Collaborate with executive leadership, technology teams, data teams, and business stakeholders to deliver AI-driven transformation.
• Define success metrics, KPIs, and governance models to measure the impact and adoption of AI initiatives.

Requirements

• Bachelor’s degree in Systems Engineering, Computer Science, Industrial Engineering, Business Administration, or related fields.
• Minimum 5 years of experience in technology, data, digital transformation, or Artificial Intelligence-related roles.
• Proven experience leading the implementation of AI solutions, enterprise AI platforms, or digital transformation programs.
• Strong knowledge and hands-on experience with:
  • Generative AI.
  • Large Language Models (LLMs).
  • Machine Learning and Deep Learning.
  • Computer Vision.
  • Natural Language Processing (NLP).
  • Transformer-based architectures.
• Experience with advanced AI models and techniques, including:
  • Recurrent Neural Networks (RNN).
  • Convolutional Neural Networks (CNN).
  • Generative Adversarial Networks (GANs).
  • Diffusion Models.
  • Reinforcement Learning.
• Experience designing and implementing enterprise AI platforms and scalable AI solutions.
• Knowledge of data governance, technology policies, AI ethics, and responsible AI frameworks.
• Ability to translate business challenges into scalable technology solutions.
• Strong leadership, stakeholder management, and executive communication skills.
• Experience working in multinational or complex corporate environments.
• Advanced English proficiency skills (C1) required.
• Must have experience working for US clients