Head of Solutions Architecture – AI Infrastructure

About This Opportunity

Our talent team at Get A Job.ai is representing a confidential enterprise infrastructure organization at the forefront of AI cloud transformation. They are building the next generation of multi-tenant, production-ready GPU infrastructure solutions that enable enterprises to operate sovereign AI clouds without vendor lock-in.

We are seeking a Head of Solutions Architecture - AI Infrastructure to build and lead their pre-sales organization from the ground up. This is an executive-level technical role where you'll own the technical win on high-value, long-cycle enterprise deals while establishing the solutions architecture function as a strategic pillar of the go-to-market organization.

This is not a demo-focused position. You will serve as an executive technical partner to enterprise AI teams, research labs, cloud providers, and AI-native startups—leading architecture debates on interconnect topologies, building TCO models that challenge hyperscaler economics, and shaping product roadmap directly from field intelligence.

Responsibilities

Build & Scale the Pre-Sales Engine (40%)

• Hire, coach, and retain a world-class team of Solutions Architects and Field Engineers
• Establish the global pre-sales operating model as headcount and deal volume scale
• Build reusable, scalable field assets: discovery frameworks, reference architectures, TCO/benchmark models, POV playbooks, and RFP response libraries
• Set technical quality standards across the organization and run enablement programs on GPU architecture, high-speed fabrics, and container orchestration

Own the Technical Win in Strategic Deals (40%)

• Partner with Account Executives as the technical executive on strategic enterprise opportunities with 6–18+ month sales cycles and multi-million-dollar ACV/TCV
• Execute structured qualification (MEDDPICC or equivalent) to map decision criteria, surface economic buyers, and build win plans around technical champions
• Architect end-to-end solutions across compute, networking, storage, and orchestration; deliver sizing, capacity plans, and TCO comparisons versus public clouds and self-built alternatives
• Design and drive POVs/POCs with strict success criteria, run performance benchmarks, and convert results into commercial momentum

Serve as the Technical Voice of the Customer (20%)

• Feed structured product, capacity, and feature requirements directly to product management, engineering, and supply planning teams
• Partner with the NVIDIA field ecosystem on reference architectures and joint pursuits to win strategic accounts
• Influence roadmap prioritization, packaging, and GTM strategy based on real-world field feedback

What We're Looking For

Required Qualifications:

• Enterprise Deal Leadership: Proven track record leading technical sales in complex B2B environments, ideally with multi-year committed-capacity or reserved-capacity deal structures
• Player-Coach Leadership: Experience hiring, developing, and leading Solutions Architecture or Field Engineering teams—with the technical depth to lead difficult deals while scaling others to do the same
• Hands-on AI/ML Infrastructure Experience: You have stood up or operated production ML workloads (distributed training and multi-node inference) and deeply understand performance bottlenecks across interconnect, memory bandwidth, I/O, and cluster scheduling
• NVIDIA Stack & High-Speed Fabric Mastery: Fluency across Hopper and Blackwell architectures (H100/H200, GB200 NVL72, B200) and reference systems. Deep understanding of NVLink/NVSwitch domains, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs

Strongly Preferred:

• Pre-sales or infrastructure leadership experience at a cloud provider, hyperscaler AI organization, or accelerated-hardware vendor
• Hands-on experience with cloud-native orchestration for AI: Kubernetes (GPU operators, device plugins), KubeVirt, bare-metal provisioning, and Slurm
• Familiarity with high-throughput parallel/object storage systems for AI pipelines and data center physical constraints (power, cooling, rack density)

How We Work With You

Get A Job.ai serves as the exclusive recruiting partner for this confidential client. Here's our process:

• Submit your application through the Get A Job.ai platform
• Our recruiting team will conduct an initial screening and technical assessment
• Qualified candidates will be presented directly to our client's hiring team
• Please do not attempt to contact the client directly, as all communication is managed through Get A Job.ai to ensure a structured and fair evaluation process

Pay

Compensation details will be discussed during the screening process and are competitive with senior technical leadership roles in enterprise infrastructure.

Equal Employment Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all applicants and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. We celebrate diversity and are committed to creating an inclusive environment for all candidates.