AI Platform Engineer

Join an organization at the forefront of AI and Data Analytics transformation, where Artificial Intelligence is being embedded across enterprise platforms to drive innovation, operational excellence, and business value. This role offers the opportunity to build and scale modern AI platforms that enable next-generation AI, Machine Learning, and Generative AI solutions across the enterprise. If you are passionate about cloud-native technologies, AI infrastructure, and platform engineering, this is your chance to contribute to a large-scale AI transformation initiative. Key Responsibilities Support the implementation and enhancement of an enterprise AI Platform running on cloud-native infrastructure using Red Hat OpenShift or equivalent Kubernetes platforms. Build and integrate AI platform capabilities including API Gateway, Retrieval-Augmented Generation (RAG) pipelines, AI agent orchestration, model serving, and observability components. Deploy, configure, and manage Kubernetes/OpenShift clusters across CPU and GPU environments. Automate infrastructure provisioning and platform operations using Infrastructure-as-Code (IaC), CI/CD pipelines, and DevOps best practices. Integrate AI platform services with enterprise infrastructure including networking, storage, load balancers, backup, and security services. Implement platform security controls including Identity & Access Management (IAM), Active Directory integration, SIEM, Endpoint Detection & Response (EDR), and Next Generation Firewalls (NGFW). Support AI/ML workloads including Large Language Models (LLMs), Generative AI applications, RAG architectures, and agent-based AI frameworks. Monitor platform health, optimize performance, manage logging, and support capacity planning to ensure high availability and scalability. Collaborate closely with AI engineers, data scientists, DevOps engineers, and enterprise technology teams to deliver secure and reliable AI platform capabilities. Continuously evaluate emerging cloud-n