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NEXTMOVEFDE careers · United States

Solutions Architect - AI Infrastructure

Technologies

GPU infrastructure · cloud systems · AI/ML infrastructure · model training environments · GPU-based products · DevOps · SLAs · support operations

About Prime Intellect

Distributed infrastructure platform orchestrating global compute and enabling researchers, startups, and enterprises to train and deploy frontier agentic AI models at scale.

Series B

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Customer adoption & accounts · Evidence for this classification:

$150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet. 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,
More from the job description

Own Your Intelligence Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own. Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the inters [... source excerpt omitted ...] to-market for a category that does not fully exist yet. 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 [... source excerpt omitted ...] 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 automatio

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