. **Responsibilities and Assignments** * Lead the technical development and evolution of Generative Artificial Intelligence solutions in an AWS environment; * Define scalable architectures for AI applications using Amazon Bedrock, LangChain, LangGraph, and other components of the Generative AI ecosystem; * Design, develop, and evolve autonomous AI agents and complex orchestration workflows among agents, tools, and language models; * Participate in defining strategies for implementing solutions based on RAG, GraphRAG, and context-oriented architectures; * Develop advanced AI applications, including intelligent assistants, classification systems, cognitive process automation, and document processing; * Define architectural standards, observability, monitoring, testing, and governance for AI solutions; * Design and implement integrations using MCP (Model Context Protocol) and other communication mechanisms between agents and systems; * Perform knowledge modeling and graph-based structure modeling using Neo4j and Cypher; * Provide technical support to the team, promoting best practices in development, architecture, and AI engineering; * Participate in strategic discussions regarding technological evolution and adoption of new AI solutions; * Ensure quality, scalability, security, and performance of developed applications; * Conduct technical reviews and support decision-making on topics related to intelligent solution architecture. **Requirements and Qualifications** * Solid experience in developing and implementing Generative Artificial Intelligence solutions; * Advanced experience with Amazon Bedrock and AWS AI-focused services; * Strong experience building and orchestrating agents using LangChain and LangGraph; * Experience implementing autonomous agents and multi-agent solutions; * Experience with LLMs and integration strategies with model hubs; * Advanced knowledge of RAG (Retrieval\-Augmented Generation); * Experience with graph modeling using Neo4j and Cypher language; * Knowledge of MCP (Model Context Protocol); * Experience in AI solution architecture, observability, testing, and optimization of AI applications; * Experience with Git and collaborative development practices; * Ability to serve as a technical reference and support multidisciplinary teams. * Desirable: Experience with GraphRAG and Knowledge Graphs; Knowledge of Kiro and Spec\-Driven Development practices; Experience in AI Engineering, MLOps, and observability for AI applications; Experience in large-scale corporate projects; Knowledge of event-driven architecture and microservices; Advanced English for global environments and technical documentation consumption; Experience defining standards, frameworks, and accelerators for AI solutions. **Additional Information** \#remote Compass UOL is a global firm and part of the AI Revolution Company, together transforming organizations using Artificial Intelligence, Generative AI, and other of today’s most advanced technologies. We equip our team with proprietary and external AI\-driven tools to design and build digital\-native platforms, integrating cutting\-edge technologies and enabling companies to innovate, transform their businesses, and drive success in their markets. To achieve this, we attract and develop the best talent, creating opportunities that enhance people’s lives and highlight the positive impact of disruptive technologies. We empower borderless talent and promote knowledge and opportunities in the latest market trends, driving significant personal and professional growth. **Join us and be part of the AI\-driven revolution.**
João Silva
Indeed · HR
João Silva
Indeed · HR
