Senior AI Engineer - GCP

We are looking for a technical, hands-on profile to design, develop, and deploy Data & AI solutions within the Digital & Consumer Data area. The person will prepare data in BigQuery, develop logic in Python, integrate models and LLMs with internal systems, and leave solutions deployed, monitored, and maintainable on GCP.

• Develop applied AI solutions within an international company.
• Work with Python, SQL, BigQuery, and GCP services to build AI

The selected person will join the Digital & Consumer Data AI team and will be responsible for developing Artificial Intelligence solutions from data preparation through to deployment in production.

Their main responsibilities will be:

• Design and develop Data & AI products applied to consumer data, CRM, loyalty, ecommerce, campaigns, and digital channels.
• Prepare, transform, and validate data using SQL and BigQuery.
• Develop pipelines, services, and business logic in Python.
• Build machine learning, predictive analytics, and generative Artificial Intelligence solutions.
• Work with Vertex AI and other Google Cloud Platform services.
• Integrate machine learning models and LLMs with APIs, applications, and internal systems.
• Develop solutions based on RAG, embeddings, vector search, agents, and foundation models.
• Create recommendation systems, personalization, and intelligent customer segmentation.
• Develop models to predict consumer behavior, digital performance, or campaign results.
• Build internal assistants for marketing, ecommerce, analytics, and other business teams.
• Deploy AI services and applications in production environments on GCP.
• Implement monitoring, maintenance, error handling, and continuous improvement processes for models.
• Ensure solutions are scalable, reusable, and maintainable.
• Collaborate with Data Engineering, Analytics, Marketing, Digital, CRM, and other international technology teams.
• Translate business needs into technical solutions that can be implemented and used effectively.

• Experience developing professional Data, Machine Learning, or Artificial Intelligence solutions.
• Proficiency in Python and SQL.
• Experience working with Google Cloud Platform.
• Solid knowledge of BigQuery.
• Experience with Vertex AI or equivalent services for training, deploying, or consuming models.
• Experience developing APIs, backend services, or integrations between models and applications.
• Ability to take solutions from the exploration phase through to production.
• Knowledge of data processing, modeling, and preparation.
• Experience with machine learning models applied to real business cases.
• Knowledge of generative Artificial Intelligence, LLMs, prompts, embeddings, and RAG architectures.
• Familiarity with vector search systems, agents, or LLM orchestration frameworks.
• Knowledge of MLOps, model monitoring, testing, logging, and version control.
• Ability to work with technical teams and business areas.
• Advanced professional English, due to the international nature of the team and projects.

The following will be especially valued:

• Experience with customer data, CRM, loyalty, ecommerce, GA4, digital campaigns, or media.
• Experience developing recommendation, personalization, or segmentation systems.
• Knowledge of Docker, CI/CD, Git, and cloud architectures.
• Experience in consumer goods, retail, ecommerce, technology consulting, or digital environments.

We are not looking for a Data Analyst focused mainly on reporting, nor a Project Manager, nor a Data Scientist focused solely on experimentation. The role requires real development, integration, and production deployment capabilities.