Act as a bridge between business, data, and technology, translating strategic objectives into AI
and GenAI-based architectural solutions.
Design AI solution architectures, including traditional Machine Learning models and GenAI solutions.
Evaluate and recommend AI platforms, frameworks, and services.
Support the definition of AI use cases, from discovery and ideation through technical feasibility and scaling.
Conduct AI maturity assessments and architectural diagnostics.

Strong experience in Solution Architecture, Data Architecture, or AI Architecture.
Knowledge of Artificial Intelligence, Machine Learning, and GenAI, including: LLMs, embeddings, RAG, fine-tuning, prompt engineering, supervised and unsupervised models.
Experience with cloud platforms and AI services (AWS, Azure, GCP), e.g.: SageMaker, Azure AI Studio, Vertex AI, OpenAI / Azure OpenAI.
Knowledge of distributed architectures, APIs, microservices, and event-driven integration.
Familiarity with MLOps / LLMOps, model versioning, pipelines, monitoring, and observability.
Knowledge of data and analytics (data lakes, feature stores, data governance).
Experience in the financial industry, with an understanding of regulatory, risk, security, and privacy challenges.

We are proud to say that, for the second consecutive year, we were recognized as the best financial institution to work for in Brazil, according to the GPTW 2025 ranking!
We also received the Diversity Seal in the Women category, reinforcing our commitment to equity.
We value relationships, innovation, and a relaxed yet increasingly collaborative environment with intentional efforts to advance diversity and inclusion.

AI Solutions Architecture Consultant

Key skills