[Job-29003] AI Senior Engineer (AWS), Brazil

🇧🇷 Brazil, BR Presencial TI Publicado Abr 22, 2026

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LocalizaçãoBrazil, BR

ModalidadePresencial

CategoriaTI

Categoria ITData Science e ML

IdiomaEnglish

Publicado22 de Abril de 2026

Última verificação8 de Maio de 2026

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. We are seeking a highly skilled AI Architect (AWS) to join our dynamic team. The ideal candidate will have a strong background in AI and machine learning principles, along with proven experience in leading Agile teams and managing project lifecycles. This role requires an individual who is passionate about developing innovative solutions and delivering AI-driven products in production environments. Key Responsibilities Develop and implement AI solutions using frameworks such as LangChain, LangGraph, and multi-agent systems. Utilize prompt engineering and retrieval-augmented generation (RAG) to enhance AI capabilities. Work with vector databases (ChromaDB, Pinecone) and implement context optimization and model routing. Ensure LLM observability and adherence to AI governance standards. Lead Agile teams through project lifecycles from conception to deployment, ensuring best practices in software development and architecture. Manage CI/CD processes, including logging, tracing, and monitoring for infrastructure observability. Conduct code reviews and enforce design patterns to maintain high-quality code standards. Collaborate effectively with stakeholders to align on project goals and deliverables. Qualifications Advanced english skills Strong years of experience in software development and in leadership roles. Strong years of experience in AWS (Bedrock, Lambda, S3, EC2). Experience with Python, Java, or C# Frameworks: Flask or Spring Boot for backend services. Tools: Jira for project management, Git for version control. Proven track record of delivering AI-driven products in production environments. Strong understanding of software development and architecture best practices, including design patterns and code reviews. Familiarity with DevOps practices and CI/CD pipelines. Excellent communication and interpersonal skills for effective collaboration with stakeholders. #LI-LO1