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, Open Shift, Rancher, private cloud AI platforms, and NVIDIA AI Enterprise.
Assess customer environments, lead Po Cs, 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.
Robust experience with Kubernetes, Open Shift, Rancher, Docker, and GPU technologies (NVIDIA GPU Operator, DCGM).
Advanced Linux administration (RHEL, SLES, Ubuntu) and virtualization (KVM/Open Shift Virtualization).
Knowledge of hybrid cloud, Dev Ops/MLOps, CI/CD, Ia C, 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.

📌 Solution architect – ai infrastructure (Bengaluru)
🏢 BayOne Solutions
📍 Bengaluru