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Dadoteca

AI Architect – Mid-level

Dadoteca

Arquiteto(a) de IA Pleno desenvolvendo soluções de Inteligência Artificial e Machine Learning. Atuando na arquitetura e implementação de soluções escaláveis e seguras.

Posted 6/8/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact
  • Support the design and implementation of solution architectures based on Artificial Intelligence and Generative AI.
  • Gather and translate business requirements into technical solutions using AI, automation and data analysis.
  • Develop and implement solutions using LLMs, RAG (Retrieval-Augmented Generation), AI agents and integrations with enterprise systems.
  • Build and expose AI models and services via APIs and microservices.
  • Implement solutions on cloud AI platforms, ensuring performance, security and governance.
  • Participate in the definition and implementation of data architectures for AI applications, including Data Lakes, Data Warehouses and vector databases.
  • Support proofs of concept (PoCs), technical testing and evaluation of new technologies.
  • Apply best practices in development, governance, security and responsible use of Artificial Intelligence.
  • Collaborate with multidisciplinary data, development and business teams to ensure proper integration of solutions.
  • Support monitoring, maintenance and continuous evolution of deployed solutions using MLOps practices.
  • Produce technical documentation, architecture diagrams and functional and technical specifications.
  • Participate in technical meetings with clients and stakeholders to understand requirements and present solutions.

Requirements

What you’ll need
  • Experience in Artificial Intelligence, Machine Learning and/or Generative AI projects.
  • Knowledge of LLMs (Large Language Models), Prompt Engineering, RAG and AI agents.
  • Experience with cloud AI platforms, preferably Microsoft Azure (Azure AI, Azure OpenAI, AI Foundry), AWS or Google Cloud.
  • Knowledge of integration architecture, REST APIs and microservices.
  • Experience with Python and SQL.
  • Knowledge of relational databases, Data Lakes, Data Warehouses and vector databases.
  • Familiarity with MLOps, DevOps, CI/CD and application monitoring practices.
  • Knowledge of governance, information security and data privacy.
  • Ability to understand business requirements and translate them into technical solutions.
  • Technical English for reading documentation and research.

Benefits

Comp & perks
  • PJ (contractor)
  • Full-time
  • Remote

ATS Keywords

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Hard Skills & Tools
Artificial IntelligenceMachine LearningGenerative AILLMsPrompt EngineeringRAGPythonSQLMLOpsDevOps
Soft Skills
collaborationcommunicationbusiness requirements translationtechnical documentation production