Senior AI Cloud Architect

Summary Required Qualifications Bachelors degree (4-years) in Computer Science, Engineering or related technical field; or related work experience. 5-7+ years of relevant work experience required. Deep experience in serverless computing and PaaS products, container orchestration products such as Kubernetes and associated technologies, application and web servers such as Apache Tomcat, Apache HTTP and Microsoft IIS Experience in public cloud providers such as AWS, Azure and Google Cloud Platform Broad experience across architecture practices (data, infrastructure, applications and security) with depth of experience in at least one area. Has experience in architecting data pipelines from the System of Records (SOR) to architecting lake warehouses. Knowledge of Machine Learning and Generative AI use cases Knowledge of Enterprise-wide architecture and ability to 'see the big picture' and how it affects current and future technologies. Internal/External consulting experience that spans organizational boundaries and includes influencing technology and business leaders. Depth of experience in the architecture, design, implementation and support of complex enterprise solutions. Exposure to multiple, diverse technical configurations, technologies, and process improvements. Preferred Qualifications Significant business knowledge and have one or more areas of concentrated technical expertise. Demonstrated ability to explain highly technical solutions to technical and non-technical teams.