Solutions Architect, AI Compute and Storage Infrastructure Solutions

@HYVE Solutions, missions to help customers, business partners, and employees achieve success through shared goals, strategies, resources and technology solutions.

Lead customer-focused infrastructure solution definition across AI, compute, storage, and networking deployments. Member of the CTO Architecture team, with ownership of customer technical engagement, pre-RFP infrastructure definition, and solution architecture development.

This role operates as the primary technical interface between customer infrastructure requirements and Hyve’s architecture and engineering organizations. The Solutions Architect will work directly with hyperscalers, cloud providers, AI-native companies, and enterprise customers to define infrastructure solutions spanning compute, AI acceleration, storage, networking, rack integration, power, and cooling.

The role focuses on early customer engagement, solution shaping, architectural definition, and strategic technical alignment ahead of formal productization and sales execution.

Key Responsibilities

• Lead customer-facing infrastructure solution engagements across AI, compute, storage, and networking deployments
• Translate customer business, workload, and infrastructure requirements into deployable technical solutions
• Define end-to-end infrastructure architectures spanning:

• • server platforms
  • accelerators
  • networking
  • storage
  • rack integration
  • power
  • cooling
  • deployment topology

• Partner with customers on roadmap alignment, infrastructure planning, and future datacenter architectures
• Develop technical proposals, architecture presentations, solution specifications, and customer design recommendations
• Collaborate with CTO Architecture, platform architects, engineering, manufacturing, and supply chain teams to align solutions with execution capability
• Support strategic customer engagements ahead of formal RFP activity
• Drive technical discovery sessions and architectural workshops with customers and ecosystem partners
• Interface with silicon vendors and ecosystem providers to align customer solutions with emerging technologies and reference architectures
• Support solution costing, configuration definition, deployment modeling, and infrastructure scaling recommendations
• Represent Hyve in customer technical reviews, architecture discussions, and strategic infrastructure planning engagements

Qualifications

• 10–15+ years in solutions architecture, hyperscale infrastructure, AI infrastructure, datacenter architecture, or technical customer engagement roles
• Strong understanding of:

• • AI infrastructure
  • server architectures
  • GPU systems
  • networking
  • storage
  • rack integration
  • power and cooling infrastructure

• Experience engaging directly with hyperscaler, cloud, enterprise, or AI-native customers
• Strong ability to translate workload and business requirements into technical infrastructure architectures
• Excellent customer communication and presentation skills
• Strong understanding of infrastructure deployment models and operational considerations at scale
• Ability to operate across architecture, engineering, manufacturing, and customer organizations
• Experience developing technical proposals and customer-facing solution documentation
• Strong systems thinking and cross-functional leadership capability

Join Hyve Solutions

• Work across multiple silicon and technology ecosystems
• Engage directly with hyperscaler and AI-native customers
• Shape next-generation AI and datacenter infrastructure solutions
• Operate at the intersection of architecture, customer engagement, and scaled deployment
• Influence infrastructure direction from early customer engagement through production deployment

Compensation $130K to $160K

@ HYVE Solutions, we believe employees are our greatest asset and we empower them to make a difference in our business. Diversity and inclusion make us all better. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.