Head of Solutions Architecture – AI Infrastructure

🔥 2 hours ago

🌐 Kazakhstan, United States – Remote

🇰🇿 Kazakhstan – Remote 🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mirantis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 Description

• Build and scale the global pre-sales organization and operating model • Hire, coach, and retain Solutions Architects and Field Engineers • Create reusable field assets, including discovery frameworks, reference architectures, TCO and benchmark models, POV playbooks, and RFP response libraries • Establish technical quality standards and enable teams on GPU architecture, high-speed fabrics, and container orchestration • 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 using MEDDPICC or equivalent • Architect end-to-end solutions across compute, networking, storage, and orchestration • Deliver sizing, capacity plans, and TCO comparisons against public clouds and self-built alternatives • Design and drive POVs/POCs, define success criteria, run performance benchmarks, and convert results into commercial momentum • Feed product, capacity, and feature requirements to product management, engineering, and supply planning teams • Partner with the NVIDIA field ecosystem on reference architectures and joint pursuits • Influence roadmap prioritization, packaging, and go-to-market strategy through field feedback

🎯 Requirements

• Proven track record leading technical sales in complex B2B environments, ideally with multi-year committed-capacity or reserved-capacity deal structures • Track record of hiring, developing, and leading Solutions Architecture or Field Engineering teams • Technical depth to lead complex technical sales discussions while scaling others • Experience standing up or operating production ML workloads, including distributed training and multi-node inference • Deep understanding of performance bottlenecks across interconnect, memory bandwidth, I/O, and cluster scheduling • Fluency across NVIDIA Hopper and Blackwell architectures, including H100/H200, GB200 NVL72, and B200 • Familiarity with NVIDIA reference systems including DGX, HGX, and MGX • Deep understanding of NVLink/NVSwitch domains, InfiniBand, Spectrum-X Ethernet, RDMA/RoCE, and DPUs • Strongly preferred: pre-sales or infrastructure leadership experience at a NeoCloud, hyperscaler AI organization, or accelerated-hardware vendor • Hands-on experience with cloud-native orchestration for AI, including 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 • Familiarity with data center physical constraints, including power, cooling, and rack density

🏖️ Benefits

• Employees can work remotely