AI Architect – Mid-level

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Dadoteca

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Dadoteca is a Brazilian data consultancy that transforms data into actionable knowledge through Business Intelligence, Advanced Analytics, Artificial Intelligence, automation, and data architecture & governance. As a Microsoft Gold Partner for Data Analytics and a Databricks Consulting Partner, Dadoteca delivers consulting and outsourcing services using Power BI, Azure, SQL Server and Python for clients across sectors (energy, retail/shopping centers, healthcare) in Brazil and internationally. The company focuses on tailored implementations, dashboards, ETL pipelines, automation and AI-driven solutions to improve strategic decision-making and operational performance.

📋 Description

• 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

• 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

• PJ (contractor) • Full-time • Remote