Expert Cloud Solutions Designer

As a seasoned technologist, we are seeking a highly skilled Senior Solution Architect to lead the implementation of AI-driven solutions for enterprise clients. This role involves designing and leading the architecture of AI / ML solutions deployed on Kubernetes and Open Shift platforms.The ideal candidate will have deep expertise in Artificial Intelligence (AI), Kubernetes, Red Hat Enterprise Linux (RHEL), and Red Hat Open Shift. In this position, you will partner with data scientists, Dev Ops, and infrastructure teams to operationalize AI / ML models.Key Responsibilities : Develop and implement scalable microservices and container-based architectures using Kubernetes and Red Hat Open Shift.Engage with enterprise clients to understand business challenges and translate them into technical solutions.Design CI / CD pipelines for AI model training and deployment.Provide hands-on guidance and mentorship to development and operations teams.Evaluate and recommend best practices around security, performance, monitoring, and governance in containerized environments.Participate in RFPs, proposals, and architecture reviews with key clients and stakeholders.Act as a technical advisor on emerging trends in AI infrastructure and cloud-native technologies.Required Qualifications : Bachelor's or Master's degree in Computer Science, Engineering, or related field.8+ years of experience in solution architecture or systems design.Proficiency with Red Hat Open Shift and Red Hat Enterprise Linux.Strong understanding of hybrid / multi-cloud deployments (AWS, Azure, GCP, or Red Hat Open Shift Container Platform).Hands-on experience with CI / CD tools (e.g., Git Lab CI / CD, Argo CD, Tekton).Deep knowledge of API design, service mesh (e.g., Istio), and infrastructure as code (e.g., Ansible, Terraform).Excellent communication and stakeholder management skills.Preferred Qualifications : Red Hat Certified Specialist in Open Shift Administration or related certifications.Experience implementing MLOps pipelines and AI lifecycle management.Familiarity with security frameworks (e.g., NIST, CIS) in containerized environments.Experience with Kafka, Elasticsearch, and distributed data systems.About the Job : This is a full-time mid-senior level Information Technology job.The successful candidate will be responsible for leading the design and implementation of AI-driven solutions for enterprise clients.