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Founding Solutions Architect

Prime Intellect· Growth
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San Francisco$250k - $320kFull-timePosted 1w ago

About the role

Founding Solutions Architect at Prime Intellect responsible for driving technical wins in deals by conducting workload discovery, benchmarking, PoCs, and production design on Prime infrastructure to outperform customer baselines and competitors.

Responsibilities

  • Lead deep technical discovery across training, post-training, and inference workloads
  • Understand each customer's GPU requirements, cluster topology, networking, storage, utilization patterns, and performance objectives
  • Design customer architectures on Prime infrastructure that meet those objectives and are ready for production
  • Partner with engineering on migration and deployment requirements so what we design is what gets shipped
  • Own workload benchmarks and proofs of concept against customer baselines and competitive alternatives
  • Translate latency, throughput, utilization, and cost results into a defensible technical business case for ML engineers and executive buyers alike
  • Set the standard for benchmark quality: methodology, reproducibility, and honest comparison
  • Drive time to technical validation down with every deal
  • Develop repeatable benchmark and reference-architecture playbooks that scale beyond you
  • Support technical evaluation and adoption of Model Factory, bringing customers from compute onto the full training stack
  • Feed what you learn from customer workloads back into product and research priorities

Qualifications

  • Strong ML infrastructure, distributed systems, cloud, or GPU-compute background
  • Working knowledge of modern training and inference stacks, CUDA/GPU environments, and model-serving patterns
  • Customer-facing experience in solutions architecture, sales engineering, forward-deployed engineering, or a similar role
  • Ability to communicate fluently with both ML engineers and executive stakeholders
  • A strong bias toward proving claims with real customer workloads and benchmarks rather than slides
  • High ownership — you see gaps and build the fix before anyone asks
  • AI-native in how you work: you use LLMs, automation, and programmatic tools to move faster

Skills

Required:Technical discovery and architectural designBenchmarking & PoC executionCommunication with ML engineers and executivesCustomer engagement & sales collaboration
Nice to have:AI tooling & automation

Benefits

  • Cash compensation range of $250–$320k + meaningful equity
  • Flexible work (remote or San Francisco), with travel to customer sites as needed
  • Visa sponsorship and relocation support
  • Professional development budget
  • Team off-sites and conferences
  • A front-row seat to building the infrastructure layer for open AI
Last updated Oct 14, 2026. Interested? Apply on the company site.

About Prime Intellect

Commoditizing Compute & Intelligence

Prime Intellect democratizes AI development at scale. Our platform makes it easy to find global compute resources and train state-of-the-art models through distributed training across clusters. Collectively own the resulting open AI innovations, from language models to scientific breakthroughs.

AI developmentbessemer-ai-infrastructure-2026compute resourcesdistributed trainingmodelsreinforcement-learning-platformsscience
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