Solutions Architect - AI Infrastructure
Prime Intellect builds the 'Open Superintelligence Stack' — an integrated compute, training, inference, and sandbox platform that lets companies train, deploy, and continuously improve their own AI models and agents. It serves AI startups, 'neolabs', and enterprises (over 6,000 customers, including Ramp and Zapier) that want to own their model optimization loop rather than rely solely on closed frontier labs.
Maintainer signals as of 8/14/2026
Funding history
Investors
Projects
About Prime Intellect
Prime Intellect is a San Francisco-based AI infrastructure company building what it calls the Open Superintelligence Stack: a full-stack platform spanning GPU compute (on-demand and reserved clusters), large-scale reinforcement learning training ('Lab'), an Environments Hub with 2,500+ community RL environments, hosted evaluations, sandboxed code execution, and dedicated/serverless model inference with native LoRA support. The company maintains open-source libraries (verifiers and prime-rl) used to build and train RL environments, and publishes frontier open research such as the INTELLECT and SYNTHETIC model/dataset series. Prime Intellect works with AI startups, enterprises, and 'neolab' customers such as Ramp and Zapier, helping them turn production traces and evaluations into custom-trained, post-trained agent models that outperform closed frontier models on specific workflows at lower cost and latency. The company has raised over $150M in total funding, including a $130M Series A led by Radical Ventures with participation from NVIDIA Ventures, Intel Capital, and Dell Technologies Capital, and reports over $100M in annualized revenue.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will manage customer onboarding, deployment coordination, account health, escalations, and production readiness for AI infrastructure customers. You will build scalable support systems, automate workflows, track billing and contracts, and coordinate across customers, finance, engineering, operations, and leadership.
Requirements
- 2–5 years of experience in customer success, technical account management, operations, or a similar cross-functional role
- Interest in AI, GPU infrastructure, cloud systems, or technical products
- Ability to work directly with customers and technical teams
- Organization and attention to detail
- Written and verbal communication skills
- High ownership
- Experience building processes from the ground up
- 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
- Startup or high-growth experience
Responsibilities
- Serve as a primary customer contact for AI infrastructure workloads
- Own customer onboarding and deployment coordination
- Build customer relationships and manage issues, risks, and escalations
- Translate customer needs into internal action
- Build systems for onboarding, deployment tracking, escalation management, and account health
- Turn manual workflows into processes, tooling, or automation
- Define support operations and service models for technical accounts
- Track billing, contract milestones, renewals, and account workflows
- Maintain visibility into deployment timelines and infrastructure commitments
- Coordinate customers, finance, engineering, and leadership
Benefits
- Equity incentives
- Flexible work environment
- Visa sponsorship
- Relocation support
- Professional development budget
- Team off-sites
- Conference attendance
