Solution Architect - AI Infrastructure & Private Cloud

Role Overview

We are seeking an experienced Solution Architect to design and deliver enterprise-scale AI/ML, HPC, and container platform solutions. The role focuses on private cloud AI, NVIDIA Enterprise AI Factory, and hybrid cloud environments, enabling scalable, secure, and high-performance AI infrastructure.

Key Responsibilities

• Lead architecture, design, and delivery of AI infrastructure, HPC, and container platform solutions.
• Design and optimize environments using Kubernetes, OpenShift, Rancher, private cloud AI platforms, and NVIDIA AI Enterprise.
• Assess customer environments, lead PoCs, and support RFP/RFI responses.
• Develop scalable AI/ML platforms leveraging industry-leading technologies and open-source ecosystems.
• Act as a trusted advisor, aligning technical solutions with customer business objectives.
• Collaborate with cross-functional teams and mentor technical consultants.

Required Skills

• 8–10+ years of experience in AI/ML infrastructure, HPC, container platforms, and hybrid/private cloud environments.
• Expertise in HPC technologies, Slurm/PBS Pro, HPCM and/or NVIDIA Base Command Manager.
• Strong experience with Kubernetes, OpenShift, Rancher, Docker, and GPU technologies (NVIDIA GPU Operator, DCGM).
• Advanced Linux administration (RHEL, SLES, Ubuntu) and virtualization (KVM/OpenShift Virtualization).
• Knowledge of hybrid cloud, DevOps/MLOps, CI/CD, IaC, observability, and security frameworks.
• Strong understanding of networking (TCP/IP, DNS, routing, load balancing) and storage protocols (S3, NFS, SMB/CIFS).
• Proficiency in Python and Bash scripting.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, IT, or a related field.
• Preferred certifications: RHCSA/RHCE, CKA/CKAD/CKS, NVIDIA AI Infrastructure certifications.
• Strong leadership, communication, stakeholder management, and problem-solving skills.