AI and Automation Specialist

• Degree in Computer Engineering, Telecommunications, Artificial Intelligence, Data Science, or similar.

• Experience or knowledge in Generative Artificial Intelligence solutions (Copilot, ChatGPT, or equivalent technologies).

• Knowledge in prompt design, agent creation, and process automation through AI.

• Experience or knowledge in automation and RPA tools.

• Knowledge of RAG (Retrieval-Augmented Generation) architectures and integration with corporate information sources.

• Knowledge of Python, SQL, and API consumption and creation.

• Ability to understand business needs and transform them into high-value technological solutions.

• Communication skills and the ability to interact with different areas of the organization.

• Customer orientation, analytical capacity, and a results-oriented approach.

• Innovative mindset, proactivity, and orientation toward continuous improvement.

• Valuable experience in cloud environments, especially Microsoft Azure.

Valuable:

• Experience with Microsoft Copilot Studio, Power Platform, Power Automate, or equivalent technologies.

• Knowledge of LLM models, autonomous agents, and generative AI platforms.

• Experience in systems integration through APIs and cloud services.

• Be part of a stable and secure company that gives you the opportunity to grow professionally.

• Training plan suited to the needs of the job position.

• Constant training and updating in AI tools.

• Collaborative environment, where you will be able to learn and grow continuously.

• Participate in a strategic digital transformation project.

• Role with a direct impact on productivity and the day-to-day of the business.

• Employee benefits plan, discounts, and access to the internal flexible compensation program.

• Design, implement, and evolve solutions based on Artificial Intelligence and Intelligent Automation to respond to business needs.

• Develop and configure assistants, agents, and generative AI solutions adapted to the different areas of the organization.

• Identify opportunities for automation and process optimization through RPA technologies, workflows, and AI tools.

• Design and implement RAG solutions to facilitate secure and efficient access to corporate knowledge.

• Integrate AI solutions with corporate applications, systems, and data sources.

• Collaborate with business areas in the identification, definition, and prioritization of high-impact use cases.

• Train and support users in the adoption of new AI tools and capabilities.

• Develop guides, best practices, and standards for the use of Artificial Intelligence.

• Coordinate with IT, Data, and Cybersecurity teams to ensure secure, scalable, and sustainable solutions.

• Monitor the use and impact of implemented solutions, identifying opportunities for continuous improvement.