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Vivara

Data Engineering Specialist – AI

Vivara

. Act as a business problem solver through Artificial Intelligence, combining data, software, automation, and Microsoft platforms .

Posted 10/17/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and deploying Artificial Intelligence solutions using Microsoft Azure and Databricks, with a strong focus on automation, integration, and data governance. Capable of translating business needs into scalable AI-driven applications while ensuring compliance with corporate policies.

Highest-signal resume keywords
Microsoft AzureDatabricksAPI DevelopmentArtificial Intelligence SolutionsDevOps

ATS Keywords

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Hard Skills
Software DevelopmentCloud EnvironmentsData IntegrationGenerative AIPrompt EngineeringREST APIsApplication DevelopmentCI/CDApplication SecurityMonitoring
Soft Skills
Problem SolvingCollaborationCommunicationLeadershipWorkshop Facilitation
Tools & Technologies
Copilot StudioAzure AIGitHubAzure DevOpsService Bus
Certifications & Qualifications
Bachelor's Degree in Computer SciencePostgraduate Degree in Data or Artificial Intelligence
Industry Keywords
Digital TransformationAutomationEnterprise SystemsData GovernanceCybersecurity

Tech Stack

Tools & technologies
AzureCloudCyber SecurityJavaScriptNode.jsTypeScript

About the role

Key responsibilities & impact
  • Act as a business problem solver through Artificial Intelligence, combining data, software, automation, and Microsoft platforms
  • Develop Artificial Intelligence solutions to drive productivity gains, automation, and decision support
  • Design, develop, and deploy intelligent agents, enterprise copilots, and AI-driven applications
  • Build applications using Microsoft Azure, Azure AI Foundry, Copilot Studio, Databricks, and other strategic platforms
  • Develop integrations between enterprise systems, APIs, ERPs, CRMs, and AI solutions
  • Implement models, agents, and automated workflows using software engineering best practices
  • Create web applications, automations, APIs, and services to support business use cases
  • Serve as a technology partner to the company’s executive leadership
  • Identify pain points, opportunities, and processes that can be transformed through AI
  • Translate business needs into practical, scalable solutions
  • Lead workshops, interviews, and discovery sessions
  • Support business cases and success metrics
  • Prepare, consume, and make data available for AI applications
  • Develop pipelines, integrations, and analytical structures in Databricks
  • Ensure data quality, traceability, and governance
  • Apply RAG, semantic search, and corporate knowledge
  • Participate in the full development lifecycle, from conception through operations
  • Use DevOps, CI/CD, and deployment automation
  • Ensure monitoring, observability, quality, and continuous improvement
  • Work with the Data & AI Coordinator to advance architectural and technical standards
  • Support internal enablement by sharing knowledge and best practices
  • Develop solutions aligned with corporate AI, Information Security, and LGPD policies
  • Work with Cybersecurity to implement governance controls
  • Ensure the appropriate use of approved AI platforms

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Engineering, Mathematics, or a related field
  • Postgraduate degree in Data, Software, Cloud, or Artificial Intelligence will be considered an advantage
  • Experience in modern software development
  • Hands-on experience with Microsoft Azure and/or Databricks platforms
  • Experience developing APIs and integrations
  • Experience working in cloud environments and with distributed architecture
  • Experience with Software, Analytics, Data, or AI solutions
  • Participation in digital transformation or automation projects
  • Experience using AI-assisted development tools will be considered an advantage
  • Knowledge of Node.js and TypeScript
  • Knowledge of Microsoft Azure, GitHub, Azure DevOps, and Databricks
  • Knowledge of Copilot Studio, Claude, Azure AI, and Databricks
  • Knowledge of AI agents, Generative AI, Prompt Engineering, and RAG
  • Knowledge of REST APIs, Service Bus, and Logic Apps
  • Knowledge of integration with enterprise systems
  • Knowledge of application development, DevOps, and CI/CD
  • Knowledge of application security, observability, and monitoring

Benefits

Comp & perks
  • Meal Voucher
  • Transportation Voucher
  • Profit-Sharing Bonus (PLR) – Based on achievement of results
  • Life Insurance
  • Medical Insurance
  • Dental Insurance
  • Wellhub
  • Discounts on Vivara and Life products
  • Birthday Day Off