• Ajustar y refinar prompts para obtener respuestas precisas de los modelos de OpenAI. • Optimizar el comportamiento de los modelos mediante el uso de vector stores. • Evaluar y resolver instrucciones complejas para mejorar la calidad de las respuestas del asistente. • Conectar las APIs de OpenAI con otras herramientas del ecosistema.

• Design and build modern solutions using TypeScript, React, SPFx, and C# • Architect and implement custom SharePoint Framework (SPFx) solutions and extensions • Build user-friendly applications and interfaces that integrate with Microsoft 365 services • Develop RESTful integrations using SharePoint REST API and Microsoft Graph API • Create modern collaboration tools including Microsoft Teams apps (nice to have) • Provide technical leadership, mentorship, and code reviews within the team • Ensure clean, maintainable code with responsive design and cross-browser support • Debug and troubleshoot issues, providing fast and reliable resolution • Collaborate across functions in an agile development environment • Stay ahead of Microsoft technology trends and contribute to continuous improvement

• Lead the end-to-end design, architecture, and implementation of IDMC-based data solutions. • Translate business requirements into scalable, secure, and high-performance data integration workflows. • Establish and promote best practices for IDMC development, data quality, metadata management, and data governance. • Develop data pipelines using **IDMC services** including Cloud Data Integration (CDI), Cloud Application Integration (CAI), Data Quality (DQ), and API Manager. • Build and optimize ETL/ELT workflows for large-scale, real-time, and batch data processing. • Integrate data from diverse energy-sector sources (SCADA, IoT sensors, ERP systems, market data, etc.). • Implement and automate data quality, profiling, and cleansing rules. • Support enterprise data governance standards, security models, and data lineage requirements. • Ensure solutions adhere to industry regulations and internal compliance policies (e.g., emissions reporting, grid reliability standards). • Partner with Data Architects, Product Owners, Business Analysts, and SMEs across generation, trading, grid operations, and customer operations. • Mentor junior developers and support a culture of continuous improvement. • Provide guidance on IDMC capabilities, roadmap, and integration patterns. • Monitor and optimize performance of production pipelines. • Troubleshoot integration issues and support end-to-end release management. • Evaluate new IDMC features and emerging technologies to drive innovation.

• Design, build, test, and deploy integrations between systems using iPaaS tools such as Boomi, Celigo, Workato, MuleSoft, or similar platforms. • Comfortable with multi-system landscape including multiple different types of integrations. • Develop real-time and scheduled integrations supporting use cases such as order-to-cash, procure-to-pay, billing, financials, and master data synchronization. • Leverage public APIs, web services, and scripting to support integration requirements. • Implement robust error handling, logging, monitoring, and retry mechanisms to ensure integration reliability. • Collaborate with functional consultants to translate business requirements into technical integration designs. • Participate in requirements gathering and solution design sessions with internal teams and clients. • Produce and maintain integration design documentation, data mappings, process flows, and technical specifications. • Align all development with established coding standards, integration best practices, and security guidelines. • Support unit testing, system testing, and user acceptance testing for integrations. • Troubleshoot and resolve integration issues in development, test, and production environments. • Provide post-go-live support and continuous improvement for existing integrations. • Communicate progress, risks, and dependencies clearly with project teams and stakeholders. • Work effectively across multiple projects, managing priorities and deadlines in a dynamic consulting environment. • Contribute to the evolution of integration standards, templates, and reusable components. • Contribute to developing and implementing firm-approved, AI-enabled solutions for clients, in accordance with company policies on data protection, intellectual property, and professional standards. • Stay informed about emerging AI tools and techniques and collaborate with firm leadership to identify compliant opportunities to enhance client solutions and internal processes.