AI Infrastructure Solutions Architect
Posted 4 Aug 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8–15 yrs
- Management level
- Individual contributor
- Employment
- Remote
No salary listed for this role.
CertificationsNVIDIA-Certified Professional, AWS Solutions Architect, Microsoft Azure Solutions Architect, Red Hat OpenShift, VMware VCP, Cisco CCNP, CKA, CKAD, ITIL Foundation
Field of studyComputer Science, Electrical Engineering, Electronics, Information Technology (or related)
Study levelBachelor's or higher
**Location & work modality: India ( Remote)
About Submer
Submer enables organizations scaling AI to overcome the limits of traditional datacenters across power, compute density and efficiency.
We design and deliver scalable, high-density AI datacenter infrastructure built around industry-leading liquid cooling, supporting everything from early AI deployments to full-scale production environments.**
What Impact you will have
We are looking for AI Infrastructure Solutions Architect
Department: Solutions Engineering / Presales
Position Summary
The AI Infrastructure Solutions Architect is responsible for designing end-to-end AI infrastructure solutions that enable customers to deploy scalable, high-performance AI and HPC environments. The role combines technical presales, solution architecture, infrastructure sizing, and deployment planning to deliver commercially viable and operationally sound AI infrastructure solutions.
The architect serves as the technical authority for compute, networking, storage, AI software stack, and infrastructure integration while working closely with Sales, Delivery, Product Management, OEM partners, and the Facilities Presales & Design teams to ensure that the AI infrastructure requirements are fully aligned with the data center's power, cooling, space, and physical infrastructure capabilities.
This role owns the AI infrastructure architecture and complements the facility design process.
What you will do
Key Responsibilities
- AI Infrastructure Presales
- Partner with Sales to qualify AI infrastructure opportunities.
- Engage with customers to understand AI workloads, performance expectations, scalability requirements, and operational objectives.
- Conduct technical discovery workshops and architecture discussions.
- Prepare technical proposals, presentations, and solution demonstrations.
- Support RFI, RFP, and RFQ responses.
- Serve as the trusted technical advisor throughout the sales lifecycle.
- AI Infrastructure Solution Architecture
Design complete AI infrastructure solutions including:
- GPU compute clusters
- AI Factory infrastructure
- HPC platforms
- High-performance storage
- AI networking fabrics (Ethernet, InfiniBand, RoCE)