Head of Solutions Architecture – AI Infrastructure

This is a fully remote position, open to applicants in Kazakhstan, +1 more country.

📋 Description

• Recruit, mentor, and retain a top-tier team of Solutions Architects and Field Engineers.

• Develop the global pre-sales operating model as headcount and deal volume increase.

• Create reusable field assets such as discovery frameworks, reference architectures, TCO/benchmark models, POV playbooks, and RFP response libraries.

• Establish and uphold a high technical quality standard throughout the organization.

• Manage enablement initiatives so that Solutions Architects can confidently discuss GPU architecture, high-speed fabrics, and container orchestration.

• Collaborate with Account Executives as the technical lead on strategic enterprise opportunities with sales cycles spanning 6–18+ months and multi-million-dollar ACV/TCV.

• Implement structured qualification processes using MEDDPICC or a comparable methodology.

• Map decision-making criteria, pinpoint economic buyers, and develop win plans focused on technical champions.

• Design comprehensive solutions that integrate compute, networking, storage, and orchestration.

• Provide sizing, capacity plans, and TCO comparisons against public cloud offerings and self-built alternatives.

• Create and manage POVs/POCs with clearly defined success criteria and performance benchmarks.

• Transform POV/POC outcomes into commercial opportunities.

• Relay structured product, capacity, and feature needs to product management, engineering, and supply planning teams.

• Collaborate with the NVIDIA field ecosystem on Cloud Partner initiatives, reference architectures, and joint opportunities.

• Influence roadmap prioritization, packaging, and go-to-market strategies based on insights gathered from the field.

⛳️ Requirements

• Demonstrated success in leading technical sales within complex B2B settings, preferably with multi-year committed-capacity or reserved-capacity deal frameworks.

• Proven experience in hiring, nurturing, and managing Solutions Architecture or Field Engineering teams.

• Technical expertise to lead intricate technical sales engagements while facilitating the growth of others.

• Experience in establishing or managing production ML workloads, including distributed training and multi-node inference.

• Profound understanding of performance bottlenecks related to interconnect, memory bandwidth, I/O, and cluster scheduling.

• Proficiency in NVIDIA Hopper and Blackwell architectures, including H100/H200, GB200 NVL72, and B200.

• Knowledge of NVIDIA reference systems such as DGX, HGX, and MGX.

• Comprehensive understanding of NVLink/NVSwitch domains, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs.

• Strongly preferred: pre-sales or infrastructure leadership experience within a NeoCloud, hyperscaler AI organization, or accelerated-hardware vendor.

• Practical experience with Kubernetes GPU operators and device plugins, KubeVirt, Metal3/Ironic bare-metal provisioning, and Slurm.

• Familiarity with high-throughput parallel/object storage systems for AI pipelines.

• Understanding of physical constraints in data centers, including power, cooling, and rack density.

🏝️ Benefits

• Employees have the flexibility to work remotely.