Solutions Architect - AI Infrastructure

Prime Intellect

$130K — $180K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-5 years in customer success, technical account management, or operations
  • Genuine interest in AI, GPU infrastructure, or cloud systems
  • Comfort working with both customers and technical teams
  • Detail-oriented with strong organizational skills
  • Excellent written and verbal communicator
  • High ownership and adaptability to urgent needs
  • Experience building processes in a dynamic environment

Responsibilities

  • Act as the primary contact for customers utilizing AI workloads
  • Manage the onboarding and deployment process post-sale
  • Establish and nurture relationships with customer teams
  • Collaborate with engineering to ensure customer needs are met
  • Enhance internal systems for onboarding and account management
  • Identify and automate repetitive workflows
  • Define operational support models for managing technical accounts

Benefits

  • Competitive cash compensation and equity incentives
  • Flexible work environment
  • Visa sponsorship and relocation assistance
  • Dedicated professional development budget
  • Opportunities for team off-sites and conferences
Full Job Description
Role Impact

This role sits at the intersection of customer success, technical operations, and AI infrastructure delivery. You will work directly with customers to help them onboard, deploy, and scale on Prime Intellect infrastructure, while also building the internal systems, workflows, and automation that make that experience scalable over time.

Beyond supporting individual accounts, this person will help define how Prime Intellect serves sophisticated technical customers: turning high-touch support and deployment work into repeatable processes, better tooling, and durable operational leverage.

What You'll Do

Customer Success & Account Ownership
  • Serve as a primary point of contact for customers running AI workloads on our infrastructure
  • Own customer onboarding and deployment coordination from post-sale through production readiness
  • Build trusted relationships with customer teams and proactively manage issues, risks, and escalations
  • Partner with engineering and operations to ensure customer needs are translated clearly into internal action
Systems, Tooling & Operational Scale
  • Build and improve the internal systems that support customer onboarding, deployment tracking, escalation management, and account health
  • Identify repetitive manual workflows and turn them into streamlined processes, tooling, or automation
  • Help define the operating cadence, support infrastructure, and service model for managing technical customer accounts at scale
  • Create structure where none exists today, improving both customer experience and internal efficiency as the business grows
Commercial & Cross-Functional Execution
  • Track billing, contract milestones, renewals, and other key account workflows
  • Maintain visibility into deployment timelines, infrastructure commitments, and customer-specific requirements
  • Coordinate across customers, finance, engineering, and leadership to keep accounts running smoothly end-to-end


Requirements
  • 2-5 years of experience in customer success, technical account management, operations, or a similar cross-functional role
  • Strong interest in AI, GPU infrastructure, cloud systems, or technical products serving sophisticated customers
  • Comfortable working directly with customers and internal technical teams
  • Highly organized, detail-oriented, and able to manage multiple workstreams at once
  • Strong written and verbal communication skills
  • High ownership and willingness to operate flexibly when customer needs require urgency
  • Energized by building processes from the ground up in a fast-moving environment


Nice-to-Haves
  • Experience with infrastructure, cloud, DevOps, or enterprise technical products
  • Familiarity with SLAs, support operations, billing, procurement, or contract administration
  • Exposure to AI/ML infrastructure, model training environments, or GPU-based products
  • Experience in startups or high-growth environments


What We Offer
  • Competitive Cash compensation + equity incentives
  • Flexible work environment
  • Visa sponsorship and relocation support
  • Professional development budget
  • Team off-sites and conference attendance

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