• Lead end-to-end AI use case delivery • Architect and evolve an enterprise AI/ML/LLM platform • Design and implement LLM solutions • Define data and integration patterns for AI solutions • Build automation and infrastructure-as-code for AI workloads • Establish engineering standards and best practices for AI systems • Partner with security, privacy, and compliance teams • Own reliability and performance for AI platform services • Enable and guide application and data teams • Communicate architecture decisions to stakeholders

• Responsible for analytical data needs • Handle complex data requests, reports, and predictive data modeling • Analyze health management programs including: data collection, validation and outcome measurement • Financial, pharmacy, claims, provider, and member data • Internal data cleansing and data reconciliation analysis • Trend analysis in various functional areas of health care management • Create and generate reports through MS-Excel, MS-Access, and SQL • Produce reports for and interface with senior management and internal and external stakeholders • Gather and interpret business requirements and monitor data trends to proactively identify issues • Execute data changes and update core systems as needed • Handle multiple projects and timelines effectively and communicate risks and issues to manager regularly • Assist with training lower level Data Analysts • Performs other duties as assigned • Complies with all policies and standards

• Diseñar y desarrollar soluciones basadas en arquitecturas de microservicios, asegurando escalabilidad, resiliencia y alto rendimiento. • Implementar aplicaciones backend utilizando Java + Spring Boot y Node.js con TypeScript, aplicando buenas prácticas y clean architecture. • Diseñar e implementar arquitecturas síncronas y asíncronas, garantizando idempotencia y correcta comunicación entre servicios. • Integrar y gestionar servicios en AWS (especialmente SQS, SNS y servicios del stack general), asegurando eficiencia y confiabilidad. • Liderar técnicamente al equipo, coordinar entregas y colaborar activamente con el cliente para alinear los objetivos del proyecto con las necesidades del negocio.

• Design, build, test, deploy, and maintain highly scalable backend services using Go. • Own critical services supporting Package Protection, Returns Protection, Claims, Orders, Tracking, and Email Parsing. • Design and evolve distributed systems and event-driven architectures that process high volumes of transactions reliably. • Build and maintain REST and GraphQL APIs used by internal products, merchants, and external partners. • Develop and improve integrations with merchant platforms, carriers, and third-party APIs. • Optimize system performance, reliability, scalability, and observability across production services. • Collaborate closely with Product Managers, Engineers, and cross-functional stakeholders to deliver impactful solutions. • Mentor engineers through technical leadership, design reviews, and knowledge sharing. • Participate in architectural decisions and continuously improve engineering standards and operational excellence.