Artificial Intelligence Manager (AI Manager) - (LATAM CANDIDATES ONLY)
At Talentus Global, we are looking for you!
We are a U.S. company with a strong presence in LATAM and across 20+ countries around the world. Some of our key near-shore BPO services include: smart-sourcing, dedicated or cluster teams, managed IT services, software outsourcing, and top ERP & CRM solutions—driven by our practices across many industries, including Higher Education.
We are currently looking for a Artificial Intelligence Manager (AI Manager) , to become a valuable addition to our dynamic team!
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
What do we offer?
· Remote model
· Salary in $USD
· Paid Vacations
· Day off for birthday
· Benefits courses and/or certifications
-Opportunity to work with top-tier U.S. clients.
-Entrepreneurial, multicultural team culture.
Join us if you have what it takes to be part of the Talentus Global Team!
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We are a U.S. company with a strong presence in LATAM and across 20+ countries around the world. Some of our key near-shore BPO services include: smart-sourcing, dedicated or cluster teams, managed IT services, software outsourcing, and top ERP & CRM solutions—driven by our practices across many industries, including Higher Education.
We are currently looking for a Artificial Intelligence Manager (AI Manager) , to become a valuable addition to our dynamic team!
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
What do we offer?
· Remote model
· Salary in $USD
· Paid Vacations
· Day off for birthday
· Benefits courses and/or certifications
-Opportunity to work with top-tier U.S. clients.
-Entrepreneurial, multicultural team culture.
Join us if you have what it takes to be part of the Talentus Global Team!
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