Storage Solutions Architect- AI Infrastructure
IBM is seeking a Storage Solutions Architect to lead AI infrastructure initiatives within their Storage Solutions team. The role involves designing and deploying high-performance data environments for AI training and inference, managing GPU cluster storage, and bridging storage technology with AI requirements. You will work across the IBM storage portfolio, engage with ISV/OEM partners, and contribute to product roadmaps. The position requires deep expertise in AI infrastructure, high-performance storage protocols, and automation tools.
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Experience
12-15 years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
IBM is seeking a Storage Solutions Architect to lead AI infrastructure initiatives within their Storage Solutions team. The role involves designing and deploying high-performance data environments for AI training and inference, managing GPU cluster storage, and bridging storage technology with AI requirements. You will work across the IBM storage portfolio, engage with ISV/OEM partners, and contribute to product roadmaps. The position requires deep expertise in AI infrastructure, high-performance storage protocols, and automation tools.
TAL's take
High-level architectural role at a major global technology firm focused on critical AI infrastructure.
The JD clearly defines the architectural focus on AI storage systems, specific hardware/software stacks, and partnership strategy.
Salaries at IBM
19.2 LPA average
Based on 1,725 Grapevine salary entries for IBM.
Engineering
0 - 2 years | 6A
8 LPA average
Range: 3 - 24 LPA
Engineering
2 - 4 years | 6A
12 LPA average
Range: 5 - 27 LPA
Engineering
4 - 6 years | 6B
21 LPA average
Range: 4 - 95 LPA
Engineering
6 - 8 years | 7A
19 LPA average
Range: 2 - 35 LPA
Must haves
- 12-15 years experience in AI Infrastructure or storage architectures
- Expertise with NVIDIA DGX/HGX systems, GPUs, and DPUs
- Hands-on experience with SAN, NAS, and Parallel File Systems
- Proficiency in Linux, Networking, and Storage Systems
- Experience deploying hybrid/multi-cloud AI solutions
- Proficiency in Python, Bash, or Go for automation
Tools and skills
Nice to have: aws, azure, gcp, vmware.
About the company
IBM is a major global technology corporation with deep engineering roots, falling into the established multinational tier.
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