{"id":2502426,"url":"https://alion.io/job/prime-intellect-founding-solutions-architect","title":"Founding Solutions Architect","company":{"id":5907,"name":"Prime Intellect","domain":"primeintellect.com","url":"https://alion.io/company/primeintellect","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":57,"open_postings":32,"ghost_share":0.719,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":250000,"max":320000,"currency":"USD","period":"year","gross":null,"usd_annual":320000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cloudflare","optional":false},{"name":"CUDA","optional":false},{"name":"CUDA Toolkit","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"DeepSpeed","optional":false},{"name":"FSDP","optional":false},{"name":"Function Calling","optional":false},{"name":"InfiniBand","optional":false},{"name":"LangChain","optional":false},{"name":"Megatron-LM","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenRouter","optional":false},{"name":"Perplexity","optional":false},{"name":"Post-training","optional":false},{"name":"SFT","optional":false},{"name":"SGLang","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Together AI","optional":false},{"name":"Tool Use","optional":false},{"name":"vLLM","optional":false},{"name":"Zapier","optional":false},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-10-14T05:06:38Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T10:52:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Own Your Intelligence\nPrime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.\nOur 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.\nPrime 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 intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.\nYour Role\nEvery serious AI team evaluating infrastructure asks the same question: will this actually run my workload better, faster, or cheaper than what I have today? Most vendors answer with slides. We want to answer with benchmarks on the customer's own workload, and then design the production architecture that delivers on them.\nAs our Founding Solutions Architect, your mission is to make Prime Intellect the technical winner in every deal. You will own the path from workload discovery through architecture, benchmark, proof of concept, and production design. You will sit with customers' ML engineers to understand what they are actually training and serving - GPU type, cluster requirements, networking, utilization and performance objectives - then design the right architecture on Prime infrastructure, run the POC against their baseline and the competitive alternatives, and turn latency, throughput, utilization, and cost results into a technical business case that holds up under scrutiny.\nThis is a founding role. There is no playbook yet for how we prove technical wins; you will write it. The benchmark methodologies, reference architectures, and POC frameworks you build will become how Prime Intellect sells to every lab and enterprise that follows.\nResponsibilities\nTechnical Discovery & Architecture\nLead deep technical discovery across training, post-training, and inference workloads\n\nUnderstand each customer's GPU requirements, cluster topology, networking, storage, utilization patterns, and performance objectives\n\nDesign customer architectures on Prime infrastructure that meet those objectives and are ready for production\n\nPartner with engineering on migration and deployment requirements so what we design is what gets shipped\n\nBenchmarks, POCs & the Technical Business Case\nOwn workload benchmarks and proofs of concept against customer baselines and competitive alternatives\n\nTranslate latency, throughput, utilization, and cost results into a defensible technical business case for ML engineers and executive buyers alike\n\nSet the standard for benchmark quality: methodology, reproducibility, and honest comparison\n\nDrive time to technical validation down with every deal\n\nPlaybooks & Platform Adoption\nDevelop repeatable benchmark and reference-architecture playbooks that scale beyond you\n\nSupport technical evaluation and adoption of Model Factory, bringing customers from compute onto the full training stack\n\nFeed what you learn from customer workloads back into product and research priorities\n\nWhat We're Looking For\nStrong ML infrastructure, distributed systems, cloud, or GPU-compute background\n\nWorking knowledge of modern training and inference stacks, CUDA/GPU environments, and model-serving patterns\n\nCustomer-facing experience in solutions architecture, sales engineering, forward-deployed engineering, or a similar role\n\nAbility to communicate fluently with both ML engineers and executive stakeholders - and to know which conversation you are in\n\nA strong bias toward proving claims with real customer workloads and benchmarks rather than slides\n\nHigh ownership - you see gaps and build the fix before anyone asks\n\nAI-native in how you work: you use LLMs, automation, and programmatic tools to move faster\n\nBonus:\nHands-on experience running or optimizing large-scale distributed training (FSDP, Megatron, DeepSpeed, or similar) or high-throughput inference (vLLM, SGLang, TensorRT-LLM)\n\nExperience benchmarking across hardware generations (H100, H200, GB200) and interconnects (InfiniBand, RoCE)\n\nBackground at a GPU cloud, neocloud, hyperscaler AI team, or frontier lab infrastructure team\n\nExperience building a solutions or forward-deployed function from scratch\n\nHow We Measure Success\nTechnical win rate · POC-to-commercial conversion · Time to technical validation · Benchmark quality · Deployment readiness · Model Factory technical attach\nWhy This Role\nYou will be the technical face of Prime Intellect in every deal that matters, working directly with the ML teams at labs and enterprises deciding where to build - and with our own research and engineering teams on what the platform needs to win. You will see more real-world training and inference workloads in a year than most engineers see in a career, and you will define how a new category of infrastructure proves itself.\nWhat We Offer\nCash compensation range of $250-$320k + meaningful equity\n\nFlexible work (remote or San Francisco), with travel to customer sites as needed\n\nVisa sponsorship and relocation support\n\nProfessional development budget\n\nTeam off-sites and conferences\n\nA front-row seat to building the infrastructure layer for open AI","description_format":"text","description_chars":6176,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Reinforcement Learning","Foundation Models","AI Compute & Inference","AI Development Tools"],"lifecycle":[{"event":"open","at":"2026-10-14T06:26:28Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.602,"p_room":1,"age_days":0,"expected_fill_days":52,"reasons":["conf:0","stale_co","win:early"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":320000,"is_top_pay":true},"html_url":"https://alion.io/job/prime-intellect-founding-solutions-architect","json_url":"https://alion.io/job/prime-intellect-founding-solutions-architect.json","meta":{"generated_at":"2026-10-14T13:10:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16170,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5907},"rest":"https://alion.io/mcp/rest/get_company?id=5907"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fprime-intellect-founding-solutions-architect"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fprime-intellect-founding-solutions-architect"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fprime-intellect-founding-solutions-architect"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/prime-intellect-founding-solutions-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fprime-intellect-founding-solutions-architect"}]}