Cloud Solution Architect - Cloud & AI Apps

Understanding Customer Technical Environment Collect and analyze customer insights to align architectural and digital transformation solutions with business objectives. Represent customer needs, driving improvements and prioritizing requirements with internal teams. Architecture Design and Deployment Lead technical architecture projects by aligning business and technical requirements, applying broad expertise to overcome constraints and deliver scalable, secure, and reliable solutions. Demonstrate solution value through collaborative design sessions with customers, driving tangible results and identifying growth opportunities. Lead technical architecture projects, taking ownership of the recommended architecture and actively working throughout all project phases up to production to ensure its success. Provide strategic guidance in design, development, and deployment, supporting customers and partners, identifying, escalating, and resolving technical blockers to accelerate solution implementation, and making necessary adjustments to guarantee architectural success. Route non-technical issues to the appropriate teams. Adapts methodology and applies governance to identify, communicate, and minimize business and technical risks (e.g. Well-Architected Framework, Enterprise Scale Landing Zone, Cloud Adoption Framework). Defines customer/partner conditions of success, adheres to quality assurance, and calculates risks while designing and/or delivering solutions. Co-development of strategic solutions with customers Collaborate with clients and partners to define project scopes and technical requirements. Develop and implement software solutions using agile methodologies (SCRUM/Agile). Create and maintain CI/CD pipelines using Azure DevOps or GitHub. Implement security practices and infrastructure as code (IaC). Participate in ideation and design thinking sessions to define approaches and solutions for business problems. Conduct architecture design sessions to ensure scalable, secure, and reliable solutions. Apply observability practices, unit tests, load tests, integration tests, design patterns, and code best practices. Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience Business level fluency in English and Portuguese languages Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, migrations, technology management Software development practices like DevOps and CI/CD tool chains (i.e. Jenkins, Azure DevOps, Git, GitHub, Visual Studio) and proven experience in software development, with solid foundation in Software Engineering Fundamentals, being able to design and build production-level solutions that are scalable, secure (secure development practices), and reliable. Proficiency in agile methodologies and SCRUM Strong understanding of AI and Generative AI technologies Previous experience in Data & AI projects. Experience with observability and system monitoring practices. Experience with third-party solution integration and microservices. Ability to learn quickly and adapt to a dynamic environment, being passionate about learning and driven by challenges, with ability to work collaboratively in a team environment Excellent communication and problem-solving skills to solve customer problems through cloud technologies Experience and understanding of large-scale application portfolios in enterprise-wide environments (including migration of on-premise workloads to the cloud) Experience with scalable architecture using Web application server technologies and Application Cloud Services like Azure Services: App Service, API management, serverless technologies, container orchestration (e.g. Kubernetes), microservice frameworks, SDKs etc. Knowledge of Azure, Terraform, and other infrastructure as code tools Enterprise-scale technical experience with cloud native applications through software design, development, deployment and app refactoring/migrations