AI Cloud Engineer

Role OverviewWe are looking for an AI Cloud Engineer with DevOps experience to join the Software Excellence and Information Assurance (SWEIXA) team within the Surveillance business area. You will define, install, deploy, configure, and support cutting-edge AI environments, working closely with software development teams to deliver secure, efficient, and scalable AI solutions. Key ResponsibilitiesGather customer requirements and design/implement end-to-end AI solutions.Handle deployment, operations, installation, configuration, and maintenance of AI environments in cloud settings.Execute Helm-based Kubernetes deployments and implement CI/CD automation pipelines.Provide technical support and troubleshooting for AI-related systems.Stay up-to-date with emerging AI technologies and trends (occasional travel may be required). Requirements & QualificationsBachelor’s or Master’s degree in Computer Science, AI/ML, Electronic Engineering, or a related technical field.Strong Linux knowledge (certifications are a plus) and sysadmin background with cloud-native integration focus.Software development experience using Golang and Python.Proven experience building cloud-native/Kubernetes environments handling large volumes of data, including production Helm experience.Hands-on CI/CD pipeline implementation using tools like ArgoCD or Jenkins (including build, testing, SAST, DAST, and artifact release).Strong focus on DevSecOps, vulnerability scanning for third-party libraries and container images, and Agile methodologies.Proficiency in English (Note: Security clearance requirements and citizenship checks may apply).