AI Architect

• University degree in Engineering, Computer Science, Telecommunications, or equivalent degrees.
• Solid experience as a solutions architect or enterprise architect in complex corporate environments.
• Demonstrable experience in modern data platforms, preferably Databricks on Azure.
• Practical knowledge of lakehouse architectures, medallion approach, and data product design.
• Knowledge of data governance, catalog, glossary, lineage, quality, permissions, and traceability, ideally with Informatica IDMC and Unity Catalog.
• Experience in integration with legacy systems, especially SAP and Oracle, and in hybrid architectures with on-premise dependencies.
• Real experience in the industrialization of artificial intelligence: ML, MLOps, generative AI, RAG, copilots, or agents.
• Knowledge of Azure AI Foundry and its application in enterprise AI architectures.
• Knowledge of security, observability, compliance, and cost control in data and AI platforms.
• Experience with CI/CD, deployment automation, and scalable platform operation.
• Ability to define target architectures, integration patterns, and implementable operating models.
• Strategic vision and a results-driven approach.
• Ability to translate business needs into implementable, scalable, and governed solutions.
• Analytical capacity and resolution of complex problems.
• Cross-functional leadership and coordination of multidisciplinary teams.
• Effective communication with business, technology, security, and provider stakeholders.
• Ability to influence and manage stakeholders.
• Orientation towards continuous improvement, reuse, and sustainable adoption.

• Experience in utilities or other regulated environments.
• Experience in federated data operating models.
• Experience in modernizing legacy DWH towards data product-oriented lakehouse platforms.
• Experience in creating common context layers for AI assistants and agents.
• Knowledge of enterprise architecture, governance by design, and reusable patterns.
• Ability to turn the DataHub into the single point of access to data and prepare the platform to deploy AI agents in a secure, reusable, and scalable manner.

• Languages: English. C1 level is valued.

• You will join a company listed on the IBEX 35 with an international presence and more than 40,000 employees.
• You will enjoy a competitive salary, social benefits, and work-life balance measures.
• Among other work-life balance measures, we work with a continuous working day all year round, with flexible entry and exit times.
• You will work in a dynamic and highly qualified team, in an international work environment with innovative projects.
• You will have a Welcome Program, where you can learn about the company globally and how it works.

Are you passionate about designing data and artificial intelligence platforms that connect strategy, business, and technology? Are you motivated to lead the evolution of a corporate, governed, and scalable DataHub, prepared for advanced analytics, machine learning, and generative AI? Do you want to drive secure and reusable agentic solutions in a leading company within the global energy sector?

ADD YOUR ENERGY TO THE FUTURE!

You will be responsible for defining and evolving the target architecture of i-DE's corporate data and artificial intelligence platform, ensuring it is scalable, governed, and prepared for analytical use cases, machine learning, generative AI, and AI agents.

You will connect strategy, business, and technology to modernize the data environment on a lakehouse in Databricks, integrate functional governance in Informatica IDMC, and enable a reusable context layer for agentic solutions on Azure AI Foundry, guaranteeing end-to-end traceability, security, quality, and access control.

• Define and evolve the DataHub reference architecture for advanced analytics, MLOps, generative AI, and AI agents.
• Design the lakehouse deployment on Databricks with medallion architecture, technical governance, and scalable operation.
• Integrate functional data governance in Informatica IDMC with catalog, glossary, quality, lineage, and access flows.
• Ensure integration between Databricks, Unity Catalog, Informatica IDMC, and the corporate ecosystem.
• Define the integration patterns and the DataHub operating model, coordinating business, architecture, platform, security, data, and providers.
• Lead integration with legacy systems and corporate sources, especially SAP and Oracle, guaranteeing technical sustainability and traceability.
• Drive a common context layer for AI assistants and agents, connected to certified data and access policies.
• Define Azure AI Foundry usage patterns for generative AI, RAG, and agent orchestration in an enterprise environment.
• Establish security, observability, compliance, and cost control standards from the design stage.
• Ensure that data reaches consumption with quality, lineage, security, and permissions applied end-to-end.
• Promote standards, reusable patterns, and continuous improvement to accelerate the sustainable adoption of the DataHub.