
Enterprise AI Solutions Architect
3 days ago
We are seeking an experienced and skilled Solutions Architect to lead the design, implementation, and delivery of our enterprise-grade AI infrastructure solutions.
About the Role:
- The ideal candidate will have expertise in Kubernetes, High-Performance Computing (HPC), and Artificial Intelligence/Machine Learning (AI/ML) workloads.
- Responsibilities include designing and building platforms for AI workloads using HPE Private Cloud AI and HPE AI Factory solutions.
- Collaboration with cross-functional teams is essential to align technical solutions with business goals.
- The successful candidate will develop and maintain expertise in Kubernetes, HPC, and AI/ML technologies.
Key Requirements:
- Proficiency in container orchestration platforms, particularly Red Hat OpenShift, SUSE Rancher, and CNCF Kubernetes.
- Experience with GPU-accelerated workloads and tools like NVIDIA GPU Operator and DCGM.
- Proven ability to integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments.
- Strong background in Linux system administration (RHEL / SLES /Ubuntu) and virtualization (KVM or OpenShift Virtualization).
Preferred Qualifications:
- HPC experience, with expertise in architecting HPC clusters, including GPU/compute nodes and HPC storage technologies.
- Understanding of high-speed networking (e.g., InfiniBand, Mellanox, RoCE).
- Experience with HPC cluster management tools such as HPE Cluster Management (HPCM) or NVIDIA Base Command Manager.
- Familiarity with HPC workload schedulers like Slurm or Altair PBS Pro.
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