Solutions Architect - AI Infrastructure
Prime Intellect provides an open superintelligence stack for training, evaluating, deploying, and continuously improving AI agents and models. Its platform combines RL environments, hosted training, inference, GPU compute, secure sandboxes, and open-source research tooling for researchers, startups, and enterprises.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Prime Intellect, Inc.
Prime Intellect operates an integrated AI infrastructure platform spanning Lab, hosted reinforcement-learning training, evaluations, environments, inference, secure sandboxes, and on-demand or reserved GPU compute. It also develops open-source tools including Verifiers, prime-rl, and Prime Agent, supporting workflows from environment creation and model evaluation through post-training and production deployment. The company serves researchers, startups, enterprises, and teams building agentic AI systems, with customer examples including Ramp and Zapier.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Manage customer onboarding, deployment coordination, account health, escalations, and production readiness for AI infrastructure customers. 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.
- Strong 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 from post-sale through production readiness.
- 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