Description
The role designs and implements scalable, secure, production-oriented machine learning and artificial intelligence architectures for strategic financial-sector projects. Responsibilities include defining AI/ML solutions, building AI platforms and MLOps pipelines, integrating LLM and GenAI models, designing RAG and embedding-based systems, connecting foundation-model APIs, developing cloud-native GCP solutions, and automating AI infrastructure. The position requires 3–6 years of AI/ML experience, expertise in GCP, Vertex AI, Kubernetes, Docker, Terraform, Airflow, LangChain, RAG, LLM APIs, and vector databases, along with production AI deployment experience and fluent Spanish. Financial-sector experience, technical team management, and enterprise GenAI architecture experience are preferred.
