About the role

  • Consultor Cloud designing AI solutions for automation at Vivo, utilizing advanced technologies for optimal client experiences. Collaborating within a multidisciplinary team to drive innovation.

Responsibilities

  • Design and implement Artificial Intelligence solutions applied to automations, using pre-trained models, LLMs, open-source models or commercial APIs (Azure OpenAI, AWS Bedrock, Google Vertex AI, etc);
  • Design complex automated workflows integrating AI, enterprise systems, APIs and workflow platforms (Power Automate, Azure Logic Apps, n8n, etc);
  • Develop data processing pipelines to support intelligent automations (extraction, classification, summarization, insight generation, etc);
  • Create and evolve scalable cloud architectures to host models and automations;
  • Implement and monitor responsive and secure AI solutions, following Responsible AI principles;
  • Conduct experiments and POCs to validate models and automations prior to industrialization;
  • Support internal teams in adopting and integrating AI and automation solutions into daily processes;
  • Investigate and resolve incidents related to pipelines, models and automations;
  • Ensure data governance, security, performance and compliance in the solutions developed.

Requirements

  • Experience with applied AI solutions for processes (LLMs, NLP, computer vision, agents, RAG, etc);
  • Experience with AI in Cloud (Azure AI Studio, Azure OpenAI, AWS SageMaker, Bedrock, GCP Vertex AI);
  • Experience with automation via low-code/no-code platforms or orchestrators (Power Automate, Logic Apps, UiPath, Automation Anywhere, n8n);
  • Programming in Python (particularly for automation, APIs and model usage);
  • Solid knowledge of Cloud architecture (Azure, OCI, GCP) - networking, serverless, API Gateway, security, monitoring;
  • Practical knowledge of pipelines (DevOps/MLOps), versioning and CI/CD;
  • Experience with integration of REST APIs, Webhooks and event-driven architectures;
  • Experience with AI and automation engineering methodologies: RAG, fine-tuning, prompt engineering, agent orchestration;
  • Experience with vector databases (Pinecone, Qdrant, Azure AI Search);
  • Familiarity with Responsible AI practices, LGPD (Brazilian General Data Protection Law) and security applied to AI;
  • Knowledge of containers (Docker) and, optionally, Kubernetes;
  • Certifications in AI or Cloud (Azure AI Engineer, Azure Architect, etc).

Benefits

  • Choose the benefit package that best fits you and your dependents through a digital platform offering multiple categories: Gym, Meal Allowance, Food Voucher, Pharmacy Assistance, Health Insurance, Dental Care and Life Insurance;
  • Company mobile phone provided;
  • Unlimited voice and data plan with the leading mobile network, including 5G;
  • Exclusive Vivo offer with special discounts on landline, broadband, TV and apps;
  • Eligibility for annual bonus or PPR;
  • Plan for your future through a private pension plan;
  • Childcare support: subsidy to assist with school, daycare or nanny expenses;
  • Work in an environment that respects your personality, dress style and individuality—be yourself. #VemdeVocê
  • Remote work up to 2 days per week. #Mobility
  • Flexible working hours;
  • Enjoy a paid day off to celebrate your birthday;
  • Participate in one of the largest corporate volunteering programs to make a positive impact;
  • Access our Educational Development Program with partnerships at educational institutions offering discounts, plus certifications and online courses;
  • Accelerate your career through our Internal Recruitment Program, in Brazil or abroad—we operate in over 17 countries! #VivoMinhaCarreira
  • Benefit from initiatives to improve your physical, emotional and social wellbeing through #VivoBemEstar, including access to nutritionists, psychologists, social services, telemedicine and more.

Job title

Cloud Consultant – AI & Automation

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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