Vivo (Telefônica Brasil)

Analyst

• Automating manual tasks
• Leading internal infrastructure projects
• Managing vendors
• Incident resolution
• Performing root cause analysis (RCA) for incidents
• Problem management
• Solution architecture
• Migration of virtualization solutions
• Knowledge of VDI deployment
• Security skills (tools, patch application)
• Focus on addressing obsolescence scenarios
• Executive-level presentations
• Networking fundamentals
• Knowledge of multi-cloud environments

Mid-level Support Analyst

Artificial Intelligence

• Design and develop AI models/applications to meet business needs
• Conduct exploratory data analysis (EDA) and preprocess complex datasets
• Integrate AI models into production pipelines using MLOps best practices
• Monitor model performance in production and continuously iterate on models
• Collaborate with product, data, and engineering teams to define AI-driven solutions
• Research, develop, and evaluate new techniques, frameworks, and trends in generative AI and large language models (LLMs)
• Document experiments, results, and technical decisions clearly and accessibly

Senior Artificial Intelligence Analyst

Full-stack Engineer

• Operate across all phases of the solution lifecycle: Ideation → Design → Build → Quality → Deployment
• Act as the interface between the business and IT, driving the elicitation of functional and non-functional requirements.
• Orchestrate the maturation of business needs, fostering a deep understanding of processes.
• Lead interviews, workshops and stakeholder sessions to identify improvement opportunities and translate requests into clear, feasible specifications.
• Produce and maintain high-quality functional documentation, including process flows, acceptance criteria, business rules and technical requirements.
• Log epics, features and user stories in the appropriate tools.
• Support alignment across multidisciplinary teams, contributing to backlog creation and prioritization.
• Collaborate with project leaders, software engineers and technical teams to enable value-driven deliveries.
• Monitor requirement changes throughout the solution lifecycle, ensuring traceability and effective communication.
• Support the QA team in understanding acceptance criteria and expected test flows.
• Work on the continuous improvement of story writing, based on quality metrics (e.g., function point).

Technical-Functional Lead – Martech Data

• Atuar no desenvolvimento e evolução de soluções FullStack utilizadas em plataformas de pagamentos.
• Contribuir para definição e evolução de padrões arquiteturais.
• Desenvolver serviços backend escaláveis e componentes frontend reutilizáveis.
• Atuar na construção de APIs e integrações entre sistemas.
• Garantir boas práticas de engenharia de software e qualidade de código.
• Apoiar decisões técnicas relacionadas à arquitetura das soluções.
• Contribuir para evolução de frameworks e componentes reutilizáveis.
• Atuar na análise e resolução de problemas técnicos complexos.
• Trabalhar de forma integrada com arquitetura, produto e outras áreas de engenharia.
• Apoiar a adoção de padrões técnicos pelos times de desenvolvimento.
• Garantir qualidade, performance e escalabilidade das soluções desenvolvidas.
• Contribuir para evolução contínua das plataformas digitais da companhia.

Consultor FullStack

Product Manager

• Act as Product Owner for AI solutions to identify and manage project needs: backlog, priorities, expansion plan, etc.
• Lead product discovery activities, mapping customer journeys, available data and opportunities for intelligent automation.
• Evaluate models and solutions (machine learning, NLP, LLMs, generative AI, etc.) together with technical specialists.
• Work closely with business stakeholders (marketing, sales, CX, logistics, staff, etc.) to ensure alignment and adoption of solutions.
• Monitor performance and impact metrics (e.g., ROI, execution time, operational efficiency, customer satisfaction).
• Manage processes to ensure deliveries within established deadlines and drive necessary incremental improvements to projects.
• Conduct POCs; evaluate and recommend contracting services, tools, research or other inputs to achieve strategic objectives.
• Prepare executive presentations.

Product Owner, AI Consultant

• Gestão de projetos de alta complexidade, atuando desde sua ideação até a entrega em produção ao cliente.
• Acompanhamento de todo o ciclo de vida do projeto.
• Colaborar e coordenar varios departamentos, partes interesadas, parceiros e fornecedores externos.
• Discutir soluções junto ao time técnico para os projetos, propondo soluções inovadoras, com difereciais eficientes e competitivos.
• Atuar ativamente na resolução de problemas, pendências e impedimentos que coloquem o cronograma do projeto em risco.
• Facilitar a integração entre os dev IA e o P.O.
• Coordenar o desenvolvimento das aplicações usando as técnicas de IA.
• Projetar, desenvolver e implementar modelos de processamento de linguagem natural avançados para IA Supervisionada e Generativa.
• Experiencia que envolva projetos de IA, com técnicas como: Generativa, NLP, LLM, Machine Learning, Redes Neurais.

Especialista em Inteligência Artificial

Data Engineer

• Perform data engineering, develop mathematical models, and implement algorithms and analytical visualizations that support multiple business areas in identifying opportunities—through optimization of costs, investments and processes, as well as revenue growth.
• Monitor technological and scientific developments, given the continuous improvements in algorithms, mathematical models, and technological platforms in the Big Data area.
• Track changes in the telecommunications market to understand and anticipate market and consumer behavior trends, thereby delivering better insights and analyses for the business.
• Balance the technical excellence of models and analyses with time-to-market business expectations and computational constraints (large data volumes).
• Comply with requirements for maintaining the Occupational Health and Safety Management System and participate in Occupational Health and Safety programs.

Data Engineering Specialist

Threat Intelligence Specialist

• Projetar e desenvolver modelos/aplicações de IA para demandas do negócio
• Conduzir análise exploratória de dados (EDA) e pré-processamento de datasets complexosI
• Integrar modelos de IA em pipelines de produção utilizando boas práticas de MLOps
• Monitorar a performance dos modelos em produção e iterar continuamente sobre eles
• Colaborar com times de produto, dados e engenharia na definição de soluções orientadas a IA
• Pesquisar/Desenvolver e avaliar novas técnicas, frameworks e tendências em IA generativa e LLMs
• Documentar experimentos, resultados e decisões técnicas de forma clara e acessível

Analista de Inteligência Artificial – Sr

• Interact with various areas of the company to identify scope and provide innovative solutions, ensuring the best infrastructure solution to support tactical and strategic decision-making for business areas and segments.
• Disseminate studies developed within the area.
• Develop studies to improve decision-making for the area's initiatives.
• Provide support in the development of quality indicators and service level metrics.
• Lead area projects, provide technical support, and ensure schedule compliance aligned with internal client areas through weekly tracking and follow-up meetings with assigned teams.

Senior Cloud Analyst

Consultant

• Identify opportunities for evolution and innovation in our digital products;
• Conduct national and international benchmarks, comparative analyses and trend research on digital evolution, digital health and apps, with a focus on user experience;
• Gather and analyze data, research and user journeys to support hypotheses and strategic recommendations;
• Reimagine existing journeys to make them simpler, smarter and more engaging;
• Develop clear, structured and innovative concepts for new products, features or journey flows;
• Create innovation proposals for e-care, exploring technologies, trends, generative AI, personalization and automations;
• Create problem → opportunity → solution mappings with clear storytelling;
• Structure narratives and executive presentations with insights and recommendations;
• Create concept-rule artifacts ("job to be done", conceptual flows and journeys) with opportunities, rules and guidelines that will guide other teams and delivery squads;
• Lead ideation and co-creation ceremonies and define strategic directions;
• Work side-by-side with UX/Research/Design teams to materialize concepts;
• Ensure that innovation initiatives are aligned with the business strategy, metrics and objectives of Vivo's digital ecosystem

Consultant, Digital Channels

Manager

• Lead architects and multidisciplinary teams responsible for Digital Identity, Decentralized Identity (DID/VC) and trust infrastructure initiatives, ensuring end-to-end vision from discovery to operations (product mindset).
• Provide leadership for teams, strategy and governance of assigned identity platforms.
• Define the product vision and value proposition for Digital Identity and DID/VC platforms, including target audiences, priority use cases and strategic drivers.
• Define and evolve architecture strategy, corporate standards and reference architectures for solutions based on DLT, decentralized identity, smart contracts and enterprise security.
• Design, develop and govern critical data structures in the security functional domain.
• Lead strategic and architectural planning, technical prioritization and roadmaps for critical platforms and services.
• Run problem-oriented discovery, translating business, regulatory and risk needs into a prioritized backlog and an outcome-driven roadmap.
• Define and address high-impact technical decisions about platforms, network governance, interoperability, costs, security and performance, aligning technology with business strategy.
• Oversee and guide the design of complete DID/VC flows, integrations with wallets, agents, SDKs and internal systems.
• Sponsor and follow integrations with credential providers and issuers, HSM/KMS, ensuring security, traceability and compliance.
• Define guidelines for deployment and operations: topology, nodes, APIs, middleware, automations, hardening and observability.
• Lead architecture policies for key, secret and cryptographic asset management, ensuring adherence to corporate standards.
• Mentor teams, remove technical impediments and ensure consistency in deliveries.
• Facilitate workshops, stakeholder interactions and executive presentations on vision, risks and architectural directions.
• Ensure clear and consistent documentation of standards, architectural decisions, flows and strategic components.
• Define and track platform success metrics (adoption, quality, availability, security and consumer satisfaction), using data to guide continuous evolution.

Platform Manager – Digital Identity

• Work on the development and evolution of Full-Stack solutions used in payment platforms.
• Contribute to the definition and evolution of architectural patterns.
• Develop scalable backend services and reusable frontend components.
• Build APIs and integrations between systems.
• Ensure software engineering best practices and maintain code quality.
• Support technical decisions related to solution architecture.
• Contribute to the evolution of frameworks and reusable components.
• Analyze and resolve complex technical issues.
• Work closely with architecture, product and other engineering areas.
• Support the adoption of technical standards by development teams.
• Ensure the quality, performance and scalability of developed solutions.
• Contribute to the continuous evolution of the company’s digital platforms.

FullStack Consultant

• Responsible for identifying the need to evolve or establish new standards for the corporate and business teams, analyze trade-offs between project requirements (deadlines and costs) versus alternative solutions, and provide recommendations.
• Guide the activities and solution directions of the solution architects on the team, organize activities in terms of internal processes, and mentor them in their development and in day-to-day technical aspects.
• Responsible for reusing functionalities and services; must align new solutions with already defined architectural principles, respecting existing standards and integrations.
• Strive to balance functional and non-functional requirements while prioritizing and making the commitments necessary for the business.
• Define the best possible architecture within the scope of business priorities.
• Identify the resources available to execute activities, the business process model, business components, and the applications, services and technologies to support projects.
• Serve as a focal point for delivery and pre-scope teams and provide support to the systems team and business areas.
• Understand the organization’s business and technological requirements:
• The solution architecture must understand the organization’s requirements in order to design architecture solutions that meet business and technology needs. This involves working closely with business analysts and other stakeholders to define clear and precise requirements.
• Develop architecture solutions:
• Based on the organization’s requirements, the solution architecture must meet business needs by defining the IT solution in accordance with architecture best practices (standards).

Business & IT Solutions Architecture – Senior Analyst

• Develop features for mobile applications using Flutter/Dart, following Clean Architecture principles
• Implement state management, preferably using Bloc/Cubit
• Integrate applications with REST APIs using Dio
• Develop and maintain BFFs (Backend-for-Frontend) using Node.js/TypeScript and NestJS, following architectural best practices
• Collaborate in bug analysis and resolution, product support, and continuous improvement
• Assist with diagnostics using tools such as Elastic Stack (ELK) and Firebase
• Work closely with other technical teams to ensure application stability, performance, and quality
• Participate in code reviews, contribute to documentation, and help disseminate best practices within the team
• Demonstrate curiosity, a willingness to learn, and a proactive attitude toward problem-solving

Junior Systems Support Analyst

• Develop and maintain ETL/ELT pipelines using Informatica PowerCenter or IDMC, or Hadoop, or Databricks, or Azure Data Factory (ADF).
• Design data models (star schema, snowflake, one big table, etc.) for analytics and data products.
• Work with big data tools (Spark/Databricks) and Azure cloud services.
• Optimize both cost and performance of data processes on Databricks.
• Contribute to documentation, standardization, and best practices for the team.
• Collaborate with business areas, analysts, and data scientists.
• Collaboration and development
• Autonomy, organization, and a strong sense of technical ownership.
• Good communication with technical and non-technical teams.
• Proactivity and a continuous desire to learn.