Jorge Aguirre

• • Led the design and development of an enterprise-grade multi-agent GenAI system integrated into a corporate chat assistant, enabling automated API consumption and data retrieval through MCP servers to support diverse internal and external user group s.

• • Acted as the technical lead for all AI-related initiatives within the product family, defining the system architecture, establishing engineering standards, and ensuring robust, scalable, and secure deployments using FastAPI, Python, Azure, Kubernetes, MLflow, and OpenAI Agents.

• • Directed a cross-functional AI community to promote adoption of AI capabilities across teams, facilitating knowledge sharing, training sessions, and collaborative use-case identification to accelerate AI maturity within the organization.

• • Served as AI Champion for the product family, delivering enablement workshops, hands-on sessions, and strategic guidance to stakeholders, improving AI literacy and supporting informed decision-making.

• • Collaborated closely with upper management to shape the AI roadmap, providing cost analysis, feasibility assessments, and userstory definition to align engineering development with business objectives.

• • Designed, implemented, and maintained end-to-end integrations—APIs, pipelines, connectors, and multi-agent workflows— ensuring reliability, observability, and high performance in production environments.

• • Supported process optimization initiatives by standardizing internal development workflows, contributing to documentation, governance frameworks, and engineering best practices to ensure consistent delivery quality.

• • Operated under Agile methodologies (Scrum and Kanban), leading technical refinements, driving backlog prioritization, and guiding functional and architectural design decisions across multidisciplinary teams.

• • Led the development of advanced features for an external Data Governance tool, ensuring alignment with business stakeholders' needs and enhancing data accessibility across the organization.

• • Designed and implemented a comprehensive automation application to optimize data processes, improving operational efficiency and reducing manual workload.

• • Provided critical support to the Operations team by managing and maintaining legacy code, ensuring the stability and reliability of key systems.

• • Played a key role in the agile development process, contributing to the creation and prioritization of user stories for the product backlog, directly impacting the quality and timeliness of deliveries.

• • Developed and integrated various APIs, including those for metadata consumption, facilitating smooth data exchange between multiple systems and enhancing the accessibility and usability of data products.

• • Worked extensively on data integration tasks, managing various SQL and NoSQL databases, and ensuring the seamless integration of APIs to unify diverse data sources and improve decision-making.

• • Actively contributed to the migration of the tool to an open-source solution, optimizing the infrastructure to support a more scalable and sustainable data ecosystem.

• • Designed and implemented ETL workflows for a high-profile public sector client using Informatica PowerCenter, Spark, and Scala, managing the entire data transformation process to ensure data quality and consistency across multiple sources.

• • Performed unit testing and integrated workflows into the client's existing systems, playing a key role in delivering robust data products that met strict business requirements.

• • Created a comprehensive data dictionary from source code, providing a clear and structured reference for stakeholders to manage and govern their data assets effectively.

• • Gained foundational experience in data governance frameworks, laying the groundwork for a deep understanding of best practice s in data integrity, security, and compliance.