About the job
About Prime Intellect
Prime Intellect builds the backbone for advanced AI labs, delivering infrastructure that supports the next generation of artificial intelligence. Our platform, Lab, brings together environments, evaluations, sandboxes, and high-performance training into one unified system for post-training at scale. Teams use Lab for Reinforcement Learning (RL), Supervised Fine-Tuning (SFT), tool integration, agent workflows, and deployment. We rely on our own technology to train leading-edge models, ensuring our clients benefit from proven solutions.
Prime Intellect recently raised $15 million in new funding, bringing our total to $20 million. Investors include Founders Fund, Menlo Ventures, and notable angels such as Andrej Karpathy, Tri Dao, and Dylan Patel.
Role Overview: Solutions Architect - AI Infrastructure
This San Francisco-based role connects client success, technical operations, and AI infrastructure delivery. The Solutions Architect works directly with customers to guide onboarding, deployment, and scaling on the Prime Intellect platform. Internally, this position helps build systems and workflows that make our services more scalable and efficient.
Beyond supporting individual accounts, this role shapes how we serve technically advanced clients, turning high-touch deployments into repeatable processes and better tools for sustainable growth.
Key Responsibilities
Customer Success and Account Management
- Serve as the main point of contact for customers using our AI infrastructure
- Oversee onboarding and coordinate deployments from post-sale through production readiness
- Build trusted relationships with customer teams, proactively resolving issues and managing risks
- Work closely with engineering and operations to ensure customer needs are understood and addressed
Systems Development and Operational Efficiency
- Improve internal systems for onboarding, deployment tracking, escalation management, and account health monitoring
- Spot repetitive tasks and convert them into streamlined processes, tools, or automation
- Help define operational cadence, support infrastructure, and scalable service models for account management
- Develop structure and introduce solutions that enhance the customer experience

