We are seeking a professional to work as a partner of Brivia. We are an ecosystem specialized in brand transformation, helping our clients overcome challenges in digital transformation, technology, and marketing. To achieve this, we constantly seek to expand our capabilities by collaborating with top specialists across various domains. Brivia_Group wants to leverage your talent to further strengthen our digital transformation ecosystem! #### **Requirements:** * Serve as the technical reference for defining, evolving, and governing AI solution architectures. * Define architectures for Machine Learning, Deep Learning, Generative AI, and Advanced Analytics solutions. * Validate AI architectures for solutions to be deployed in corporate environments. * Lead decisions regarding AI platforms, frameworks, tools, and technological standards. * Define and maintain governance, security, compliance, and quality practices for AI initiatives. * Support multidisciplinary Engineering, Data, and Development teams in implementing solutions. * Evaluate trends, emerging technologies, and innovation opportunities in Artificial Intelligence. * Define standards for model monitoring, observability, performance, and lifecycle management. * Support strategic initiatives involving automation, corporate copilots, advanced analytics, and operational efficiency gains. #### **Qualifications:** #### **Academic Background:** * Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, Statistics, Mathematics, or related fields. * Postgraduate degree, MBA, or specialization in Artificial Intelligence, Data Science, Solution Architecture, or related areas is considered a plus. #### **Technical Requirements:** * Solid experience with Machine Learning and Deep Learning. * Practical experience with Generative AI (LLMs, NLP, copilots, and intelligent agents). * Advanced knowledge of distributed systems architecture and data architecture. * Experience with cloud environments (Azure, AWS, or GCP). * Knowledge of Data Lake, Data Warehouse, and modern data platforms. * Experience with APIs, microservices, and system integration. * Proficiency in Python and Machine Learning frameworks such as TensorFlow, PyTorch, or similar. * Experience with AI platforms such as Azure AI Services, Azure OpenAI, OpenAI, or equivalents. * Knowledge of MLOps practices, including model deployment, versioning, monitoring, and governance. #### **Differentiators:** * Experience implementing and scaling AI solutions in complex corporate environments. * Experience in digital transformation programs with intensive use of Artificial Intelligence. * Knowledge of AI governance, applied ethics, LGPD, and risk management. * Experience with corporate copilot tools and intelligent assistants. * Certifications such as Azure AI Engineer, Azure Solutions Architect, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or similar. * Experience with RAG (Retrieval-Augmented Generation) architectures, autonomous agents, and Generative AI ecosystems. * Knowledge of observability, model monitoring, and FinOps for AI environments. #### **Additional Information:** * Contract type: PJ (valid CNPJ required). * Personal equipment required. * Work model: Remote. * Professionals located in Greater São Paulo must be available for one weekly in-person session at the client's office. * Professionals from other locations may work fully remotely. * Expected start date: June/2026. * Project duration: approximately 12 months. Join a dynamic ecosystem and be part of the market revolution!
João Silva
Indeed · HR
João Silva
Indeed · HR
