OBJECTIVE
Be part of a multi-disciplinary team of Products Architects, and people with very diverse but specific skills such as UX, storytelling, Data Visualization, Python Scripting and deep-industry knowledge. Contribute as a core team member, driving end-to-end change and results for our clients. We are looking for an out-of-the-box thinker, passionate about innovation and agile development.
RESPONSABILITIES
Architect and develop web platforms that productize Finance data from the GCP lake, exposing curated datasets and analytical capabilities to Finance personas.
Own stack decisions across frontend, backend, data access, integration, and AI layers for Finance-facing digital products.
Design and implement the integration fabric across GCP, AWS, Azure, Power BI, SharePoint, Power Automate, Excel, and internal ERPs.
Design the AI layer for Finance use cases, including agent frameworks, prompt design, validation logic, and testing protocols for variance explanation, forecast assistance, query generation, and anomaly detection.
Embed statistical models (forecasting, anomaly detection,



variance decomposition) and Generative AI capabilities directly into Finance applications.
Build the complete full-stack of applications with strong UX, ensuring solutions are secure, accessible, maintainable, scalable, and performant.
Proactively simplify code, resolve architectural deficiencies, and create reusable Finance components that compound value across initiatives.
Partner with Finance stakeholders, Data Scientists, UX designers, and product managers to translate Finance pain points into technical designs.
Ensure application quality through testing, debugging, and performance optimization.
Participate in code reviews, knowledge sharing, and continuous improvement.
Support deployments, monitoring, and incident resolution in production environments hosting financial data.

REQUIREMENTS
2-3 years of software development delivering high-value business solutions.
Ability to work ac

📌 Finance Function (Buenos Aires)
🏢 Accenture
📍 Buenos Aires