Job Summary: Lead the design of system and AI solution architectures, ensuring scalability, security, and high availability. Key Highlights: 1. Serving as a technical reference in AI architectures 2. Development and operation of solutions on AI platforms 3. Multi-cloud environments (GCP and AWS) with heavy use of IaaS Serve as a technical reference in leading the design of system and Artificial Intelligence solution architectures, ensuring scalability, security, and high availability. The professional will be responsible for structuring multi-cloud environments, implementing software engineering best practices, and ensuring operational efficiency through automation, CI/CD, and observability. The role’s mission is to support strategic decision-making with technical excellence and architectural vision, enabling the organization’s technological evolution. **Responsibilities:** – Lead the design of system and AI solution architectures with a focus on scalability, security, and high availability. – Develop and operate solutions on AI platforms (e.g., Vertex AI). – Implement and manage advanced automation using n8n. – Define, implement, and maintain CI/CD pipelines for applications and AI models. – Work in multi-cloud environments (GCP and AWS), with heavy utilization of IaaS. – Apply advanced software engineering, SRE, and observability practices. – Serve as a technical reference, defining standards, best practices, and supporting strategic decisions. **Requirements:** – Completed undergraduate degree in Computer Science, Computer Engineering, Information Systems, or related fields. – Solid experience in system development and software architecture. – Strong proficiency in Python and Java. – Proven experience with Infrastructure as a Service (IaaS). – Practical experience with GCP and AWS. – Experience with AI platforms (e.g., Vertex AI) and workflow automation tools (e.g., n8n). – Experience in CI/CD, distributed systems, and API development/integration. – Knowledge of software engineering and reliability (SRE) best practices. – Analytical capability and systemic vision for making strategic technical decisions. – Technical leadership skills, clear communication, and ability to collaborate with multidisciplinary teams. **Preferred Qualifications:** – Postgraduate degree or specialization in Software Architecture, Cloud Computing, or Artificial Intelligence. – Prior or hybrid experience as a Software Engineer, SRE, and/or Solutions Architect. – Experience with MLOps, cloud-native architectures, microservices, and advanced observability. – Experience in large-scale, highly complex corporate environments. – Certifications in AWS, GCP, or related areas. – Prior experience in technical leadership of teams or definition of technology strategies. **Important Information:** Work Location: Butantã/SP. Work Model: Hybrid (4 days onsite, 1 day remote). Working Hours: 9:00 AM – 6:00 PM. Employment Type: PJ.