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• Participar ativamente do time para avaliar e aprimorar códigos, avaliando implementação e verificação no código; • Criação e manutenção de Serviços Web; • Escrever códigos eficientes, reutilizáveis e de fácil manutenção; • Discutir possíveis soluções entre os times de UX, Back-end e Front-end; • Refinamento técnico das USs propostas; • Avaliar viabilidade técnica e propor soluções.

• Define, review and maintain corporate AI Governance (Responsible AI) policies, guidelines and frameworks, aligned with business, technology, data and control functions; • Serve as the corporate reference for AI Governance, advising business areas on the appropriate use of AI models, including predictive models, generative models and intelligent automations; • Structure and sustain the governance model for the lifecycle of AI solutions, from ideation through continuous monitoring (model lifecycle management); • Define standards for development, validation, deployment and monitoring of AI models, including criteria such as explainability, fairness (algorithmic bias), robustness, reliability and observability; • Establish and guide the management of risks related to AI, including operational, reputational, ethical and regulatory risks; • Participate in defining and monitoring controls for the responsible use of AI, ensuring compliance with regulations (e.g., LGPD, GDPR, AI Act – where applicable) and internal policies; • Support the definition of adoption and prioritization criteria for AI initiatives considering business value, complexity, risk and area maturity; • Ensure traceability and documentation of AI models, including artifacts such as model cards, data lineage, versioning and validation criteria; • Act as the corporate focal point for AI topics, promoting alignment between business areas, IT, Data, Analytics, innovation and global teams; • Support projects from conception, ensuring alignment with governance principles and responsible AI usage; • Structure and run forums, committees and decision-making bodies related to AI, contributing analyses, recommendations and strategic guidance; • Promote the dissemination of a culture of responsible AI use, including awareness, training and safe adoption initiatives; • Ensure information security requirements are incorporated at all stages of the AI solutions lifecycle (Security by Design); • Support the security assessment of the AI supply chain, including pre-trained models, third-party datasets and external APIs; • Collaborate with Information Security to define incident response procedures for AI systems; • Support monitoring and control of unauthorized use of AI tools (Shadow AI); • Help structure AI Red Teaming processes and adversarial testing of AI models before production deployment; • Define, together with Information Security, access controls (RBAC), data protection in AI pipelines and data residency requirements.

• Design, develop and evolve solution architectures in cloud environments (AWS and Azure); • Work hands-on in the implementation and maintenance of solutions across multiple projects; • Model and document technical architectures, ensuring standardization and governance; • Support development and infrastructure teams in building scalable and secure solutions; • Provide technical leadership for architecture initiatives and support technical decision-making; • Develop and support DevOps strategies, CI/CD processes and infrastructure automation; • Build and support integrations between systems and APIs; • Work with Linux and Windows environments in corporate contexts; • Support architecture definitions oriented to microservices and application modularization; • Participate in agile team ceremonies and routines, contributing technical guidance; • Collaborate with multidisciplinary teams to understand technical and business requirements; • Propose continuous improvements to processes, tools and architectures; • Ensure best practices for security, availability, performance and observability of solutions; • Share technical knowledge and support the development of team members; • Assist in defining architectural standards and best practices for development and infrastructure.

• Prepare technical architecture and design documents; • Develop data modeling; • Manage the Databricks environment; • Manage AWS, Azure and GCP cloud components; • Develop solutions using (Java / Python / Spark / Scala); • Configure network components in hybrid environments; • Define best practices for relational and non-relational data storage; • Implement improvements in Data Lake and Data Warehouse environments; • Implement and manage SQL and NoSQL databases; • Define and develop DevOps, Docker and Kubernetes solutions; • Discuss and define the best solutions for system integrations; • Support the creation of data governance processes; • Advise on the best solutions to support the company's self-service BI strategy.

• Desenvolver e manter aplicações utilizando a plataforma .NET; • Projetar, implementar e evoluir integrações utilizando Azure Logic Apps; • Desenvolver APIs e serviços para integração entre sistemas internos e externos; • Atuar na manutenção corretiva, evolutiva e no desenvolvimento de novas funcionalidades; • Escrever código limpo, eficiente, reutilizável e de fácil manutenção; • Participar de definições técnicas e discussões de arquitetura junto aos times de Produto, UX, Back-end e Front-end; • Garantir a qualidade das entregas por meio de testes automatizados e revisão de código; • Identificar oportunidades de melhoria contínua em processos, aplicações e integrações; • Apoiar a resolução de incidentes e análise de problemas em ambientes produtivos; • Atuar em ambientes cloud, contribuindo para a evolução das soluções e da arquitetura corporativa.

• Development on the .NET platform • Maintenance and creation of new systems • Write efficient, reusable and maintainable code • Discuss possible solutions with UX, backend and frontend teams.

• Implement and maintain automated testing systems for mobile and web applications; • Write efficient, reusable, and maintainable code; • Discuss possible solutions with UX, Back-end, and Front-end teams; • Perform manual testing on mobile and web platforms; • Generate execution reports for automated and manual tests; • Develop test cases based on analysis of user stories; • Promote and implement a quality-first culture within the company.

• Participar ativamente do time para avaliar e aprimorar códigos, avaliando implementação e verificação no código; • Criação e manutenção de Serviços Web; • Escrever códigos eficientes, reutilizáveis e de fácil manutenção; • Discutir possíveis soluções entre os times de UX, Back-end e Front-end; • Refinamento técnico das USs propostas; • Avaliar viabilidade técnica e propor soluções.

• Participar ativamente do time para avaliar e aprimorar códigos, avaliando implementação e verificação no código; • Criação e manutenção de serviços na web com regras de negócio complexas e dinâmicas. • Escrever códigos eficientes, reutilizáveis e de fácil manutenção; • Discutir possíveis soluções entre os times de UX, Back-end e Front-end;

• Develop, train and optimize AI and Machine Learning models; • Structure data pipelines for model training and inference; • Implement AI solutions in production and scalable environments; • Work closely with product, engineering, data and business teams; • Evaluate performance, accuracy and efficiency of developed models; • Research and apply new technologies, frameworks and AI best practices; • Ensure governance, security and quality of implemented solutions; • Support intelligent automation initiatives and the use of generative AI.