AI Technician

• Experience between 5-8 years.
• More than five years participating in highly complex technological projects.
• Experience in implementing Artificial Intelligence or Advanced Analytics solutions in corporate environments.
• Experience coordinating multidisciplinary teams and technological suppliers.
• Experience working with business areas in defining digital solutions.
• Experience in cloud architectures.

Essential Knowledge

• Cloud architectures (preferably AWS).
• Generative AI.
• LLM models.
• AI governance.
• RAG architectures.
• AI agents.
• APIs and application integration.
• Design of technological solutions.

• Microsoft Copilot.
• Copilot Studio.
• SageMaker.
• Amazon Bedrock.
• Vector databases.
• MLOps.
• AI Act.

• Computer Engineering; Mathematics; Industrial Engineering or equivalent qualifications.

• A stable, quality job, where employability and functional mobility are key drivers for professional growth and development.
• An environment that promotes diversity and equality.
• Work-life balance, with different conciliation measures available to you.
• A fair and competitive compensation model, aimed at reducing the pay gap between men and women and promoting equal opportunities.
• Flexible working hours and hybrid work model.
• A key project for the future within the sector. We look forward to having you on board to make it happen!.

Main company commitments

At Redeia we celebrate talent and diversity and we are committed to an inclusive culture, where employees work to generate value for society and improve people's lives, true to our values: respect, integrity, sustainability.
Our employment policy ensures compliance with current legislation and is based on principles such as transparency and equality, ensuring non-discrimination on any grounds, including age, gender, sexual orientation and identity, culture, disability, or any other condition. We base our selection process on the qualifications and skills of the candidates, and we integrate all these commitments into our corporate culture and internal company policies. Are you going to miss the opportunity to develop with us? Come and meet us!.

Do you want to be part of the leading company in the energy and telecommunications sector?
If you are motivated by the challenge of the energy transition and the development of telecommunications, and you want to be part of it, are you up for the challenge?

Why Redeia?
We were born as the world's first TSO. Today, we are a global manager of essential electricity and telecommunications infrastructure and a protagonist in the ecological and digital transformation. Redeia's identity reflects our true core: the grid. A grid made up of five brands, more than 2,100 professionals, and millions of people united by the value of what is essential.
Our purpose: to guarantee electricity supply and connectivity, driving a fair ecological transition with sustainability criteria, leveraging our neutrality, and contributing to social and territorial cohesion. We are ready!

We are looking to bring an AI Technician on board to join the Dp. IT Planning and Management team at Redeia Corporación.

1. Driving the identification, design, implementation, and evolution of Artificial Intelligence solutions to generate value for business areas, coordinating the relationship between business, technology, and suppliers.
2. Coordinating the lifecycle of AI initiatives, from identifying opportunities to their industrialization, ensuring alignment with corporate strategy and established prioritization criteria.
3. Defining and evolving reference architectures for Generative AI and traditional AI solutions, promoting the reuse of components, technological patterns, and common capabilities.
4. Coordinating the evolution of the Corporate AI Platform, driving the incorporation of new capabilities, models, tools, and cloud services that accelerate solution development.
5. Promoting the technical governance model for AI, establishing standards, best practices, quality criteria, traceability, and support for regulatory compliance throughout the entire solution lifecycle.
6. Technically coordinating specialized AI suppliers, ensuring the proper implementation, evolution, and industrialization of developed solutions.
7. Identifying opportunities for process improvement and transformation through Artificial Intelligence, collaborating with business areas to define use cases, prioritization, and measurement of obtained value.
8. Carrying out technological monitoring activities on Artificial Intelligence, evaluating new capabilities, platforms, models, and trends to facilitate their adoption when they bring value to the organization.
9. Promoting the technical adoption of AI capabilities within IT, providing specialized support, sharing knowledge, and promoting the reuse of solutions.

Cross-functional leadership: Ability to coordinate multidisciplinary teams without hierarchical dependency.

Business orientation: Understanding business processes and turning needs into technological solutions.

Systemic vision: Understanding AI as a corporate capability that integrates business, technology, data, governance, and people.

Integration capability: Coordinating specialized profiles and facilitating joint work between architecture, development, business, and suppliers.

Communication: Ability to interact with technical and management profiles, adapting the level of communication. The capacity for influence is valued.

Results orientation: Permanent focus on generating value and the impact of implemented solutions.

Innovation: Technological curiosity and the ability to identify opportunities for evolving AI capabilities.

Other: Flexibility and resilience.