Solutions-Architect, Pre-Sales-Architect, Sales-Engineer Jobs

About the Role & Mission

AI infrastructure is undergoing a generational shift. Disaggregated, raw GPU hardware must be transformed into multi-tenant, production-ready, and sovereign AI clouds - without locking enterprises into a single hyperscaler or hardware vendor. That is where k0rdent AI by Mirantis comes in.

k0rdent AI serves as the declarative "super control plane" that manages complex, heterogeneous GPU infrastructure from Metal-to-Model™. We are hiring a Head of Solutions Architecture to own the technical win, build our pre-sales organization from the ground up, and lead the architecture strategy on high-value, long-cycle compute deals.

This is not a demo-jockey role. You will be an executive technical partner to NeoClouds, AI-native startups, enterprise AI teams, research labs, and sovereign buyers. You will lead high-stakes architecture debates on interconnect topologies, build TCO models that challenge hyperscaler economics, construct reusable pre-sales machinery, and shape our core product roadmap directly from field intelligence.

What You’ll Own

• 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 a high technical quality bar across the organization; run enablement so every SA can speak credibly to 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 long sales cycles (6–18+ months) 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 vs. public clouds and self-built alternatives.

  • Design and drive POVs/POCs: define strict success criteria upfront, 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 back to product management, engineering, and supply planning teams.

  • Partner closely with the NVIDIA field ecosystem (Cloud Partner program, reference architectures, joint pursuits) to win strategic accounts.

  • Influence roadmap prioritization, packaging, and GTM strategy based on real-world field feedback.

By joining us, you will lead the technical field engine behind k0rdent AI, shaping how the world's most innovative companies build and operate GPU-powered infrastructure at scale.

What We’re Looking For

• 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: Track record of hiring, developing, and leading Solutions Architecture or Field Engineering teams—with the technical depth to lead the room on hard 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 (DGX, HGX, 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: Kubernetes (GPU operators, device plugins), KubeVirt, Metal3/Ironic 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).

We are a Leader for Container Management in G2 (#2 after AWS)!

Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.

Originally posted on Himalayas

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:

• Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

• Continuous professional growth and leadership opportunities.

• Health, wellness, and financial benefits to offer peace of mind to you and your family.

• World-class facilities and the technology you need to thrive – in our offices or yours.

Job Summary

Role Description

• Design and deliver product demonstrations, proof-of-concepts (POCs), and technical presentations focused on full stack observability solutions including APM, infrastructure and cloud monitoring, log analytics, digital experience monitoring, and network performance monitoring platforms
• Lead technical discovery sessions to assess clients' observability maturity across application, infrastructure, cloud, network, and end-user experience domains, including current tooling sprawl, data volumes, and incident response workflows
• Translate complex observability concepts — such as distributed tracing, cardinality and telemetry cost management, service level objectives (SLOs), and AI-driven event correlation — into business-relevant value propositions for both technical and executive audiences
• Design and present target-state observability architectures covering instrumentation strategy, OpenTelemetry adoption, telemetry pipeline and data tiering design, alerting and SLO frameworks, dashboards, and integration with ITSM, CI/CD, and security operations tooling
• Develop and maintain internal practice collateral including reference architectures, battle cards, competitive analyses, technical briefs, and vendor evaluation frameworks
• Evaluate and qualify new vendor technologies and product capabilities; make recommendations on partner adoption, platform consolidation, and legacy monitoring tool retirement
• Conduct internal enablement sessions for engineering and sales teams on emerging observability technologies, product updates, use cases, and monitoring modernization best practices
• Drive revenue growth within the presales team by identifying new observability opportunities and optimizing service offerings
• Collaborate with SHI stakeholder partner teams to create synergistic observability service solutions that integrate across SHI's broader portfolio
• Build and maintain strong relationships with key clients and partners, ensuring high levels of satisfaction and retention through product briefings, demonstrations, and knowledge transfer
• Stay current with new observability technologies and industry developments; track evolving approaches such as OpenTelemetry standardization, telemetry pipelines, eBPF-based instrumentation, and AIOps to inform architectural recommendations
• Contribute to practice development by identifying areas for growth, leading innovation initiatives, and creating and maintaining practice standards to ensure high-quality service delivery
  

Behaviors and Competencies

• Adaptability: Can proactively adapt to challenging situations, anticipate changes, and make modifications to meet the demands of changing circumstances.
• Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.
• Documentation: Independently produces and maintains documentation for routine processes; ensures accuracy and consistency.
• Leadership: Can proactively seek out leadership roles, initiate team projects, and contribute to team development and success.
• Problem Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.
• Teamwork: Can lead a team effectively, facilitate cooperation, sharing information, and ensuring that all team members are able to contribute to their full potential.
• Self – Motivation: Can proactively seek out challenges, initiate self-development projects, and contribute to personal or professional innovative ideas.
  

Skill Level Requirements

• Strong proficiency in overseeing and directing opportunity engagements to completion, ensuring goals are met, resources are utilized efficiently, and stakeholders are satisfied
• Deep understanding of end-to-end observability design including instrumentation strategy, telemetry pipeline and data management, tool consolidation and migration planning, SLO-based operating models, and continuous improvement frameworks
• Expertise in solution design across enterprise systems, integration platforms, and data layers.
• Strong background in system security, data privacy, and compliance.
• Ability to translate complex technical concepts into clear, business-oriented language.
• Experience with CI/CD pipelines, automation tools, and infrastructure-as-code frameworks.
• Proficient in scripting and automation languages (Python, Go, Terraform, Ansible) and their application to instrumentation, monitoring-as-code, and integration workflows
• Excellent problem-solving, collaboration, and communication skills.
  
  

Other Requirements

The estimated annual pay range for this position is $180,000 - $250,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity – M/F/Disability/Protected Veteran Status

Originally posted on Himalayas