{"id":68650,"url":"https://alion.io/job/andromeda-solutions-architect","title":"Solutions Architect","company":{"id":27148,"name":"Andromeda","domain":"andromeda.ai","url":"https://alion.io/company/andromeda","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":93,"open_postings":12,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","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":null,"salary_estimate":{"min_usd":158000,"max_usd":308000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":726},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HPC","optional":false},{"name":"InfiniBand","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false}],"status":"live","first_seen_at":"2026-07-29T19:54:04Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-10-19T06:43:30Z","board_verified":true,"closed_at":null,"days_open":81,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":81},"description":"Solutions Architect\nLocation: Remote/SF-Hybrid · Full-Time\nAbout Andromeda\nAndromeda is a market and infrastructure platform to buy, sell, and operate compute.\nWe believe demand for compute will grow exponentially. So fast that a handful of vertically integrated providers won't be able to scale across operations, capital, supply chains, and politics to serve it. The result is a massive wave of fragmentation, with AI factories of every shape and size coming to market to fill this demand. Our job is to enable all of that fragmented compute to flow through one platform, delivering reliable capacity to model builders, research labs, and inference providers when they need it. We believe every spare electron should be made productive for AI and we're building the platform that makes that possible.\nWe sit at the center of three forces:\nCompanies that need reliable, high-performance compute fast\n\nA fragmented global supply of GPUs across hyperscalers, neoclouds, and independent data centers\n\nCapital, risk, and operational complexity that most teams are not equipped to manage\n\nWhen we succeed, trillions of dollars of compute will flow through Andromeda. Builders get capacity when they need it. Providers get a reliable way to monetize, operate, and finance infrastructure at scale. Capital gets an easy way to deploy, hedge, and underwrite.\nIn five years, Andromeda won't just participate in the AI infrastructure market. We will shape it.\nThe Role\nWe're hiring our first Solutions Architect to own the technical side of our largest customer engagements. You will be the technical face of Andromeda to frontier labs and enterprises evaluating Andromeda to train and serve their models, as well as the advocate for those customers after they sign.\nYou'll own your accounts end-to-end. You run the technical discovery and the POC that wins the deal, then you're the person who lands the cluster, gets the first real training run through it, and stays the technical owner as the account grows. No handoff to a stranger at signature. The architecture you promised in the evaluation is the architecture you're accountable for in production.\nYou are the person in the room who can go from a CTO's roadmap to an interconnect topology without losing either audience.\nThis is greenfield. There's no SA playbook here yet; no demo environment, no evaluation template, no onboarding runbook, no reference architectures. You'll build them, and they'll become how Andromeda works with customers for years. If you've been the person who quietly built all of that at your last company and want to do it on purpose this time, this is that role.\nWhat You’ll Do\nWin the technical evaluation\nPartner with Sales to qualify opportunities, lead technical discovery, and scope evaluations against the customer's real success criteria - not a generic checklist.\nDesign cluster and workload architectures that map to business outcomes: time-to-first-token, tokens/sec, MFU, cost per training run, reliability targets.\nOwn POCs end-to-end - scope, benchmarks, success metrics, timeline, stakeholder alignment.\nLand it and grow it\nTake customers from signature to first successful production training run: provisioning, environment setup, validation benchmarks, and the unglamorous debugging in between.\nServe as the named technical owner for your accounts after launch. You’re responsible for architecture reviews, capacity planning, performance and cost optimization, and technical workload reviews.\nSpot expansion before the customer asks: where they're capacity-constrained, what's coming on their roadmap, and what it will take to serve it.\nBuild the function\nCreate the assets the SA team runs on: demo environments, benchmarking harnesses, reference architectures, onboarding runbooks, evaluation playbooks, and competitive material.\nBe the highest-signal feedback loop into Product, Engineering, and Research - recurring gaps, competitive losses, and what customers actually ask for once they're in production.\nWhat We’re Looking For\n5+ years in customer-facing technical roles, including 2+ years in pre-sales (Solutions Engineer, Sales Engineer, Solutions Architect, or specialist SA).\nDirect experience selling or supporting GPU compute at a neocloud or GPU provider, or as an AI/HPC specialist at a hyperscaler or NVIDIA.\nDemonstrated ability to take a customer from evaluation into production and stay accountable for the outcome.\nReal fluency in large-scale training and inference: distributed training frameworks, multi-node topologies, InfiniBand/RoCE, storage and checkpointing, and where these break at scale.\nComfort with Kubernetes and SLURM as scheduling environments customers actually run in.\nEnough Python to build a benchmark, a prototype, or an API integration yourself rather than waiting on engineering.\nA track record of owning technical evaluations in complex, multi-stakeholder deals and changing the outcome.\nExceptional communication, able to hold a deep conversation with a distributed systems engineer and a CFO.\nStrong Candidates May Have\nExperience with frontier labs or AI-native companies as customers.\nPerformance benchmarking, MFU analysis, or total-cost-of-training modeling.\nHaving been the first or earliest SE somewhere.\nWhat Success Looks Like\nPOCs convert reliably because evaluations are well-scoped, technically credible, and tied to customer ROI.\nCustomers reach their first production training run fast, and what they saw in the POC is what they get.\nAccounts grow because you saw the constraint coming before the customer raised it.\nThe assets you build let the next five SAs ramp in weeks instead of quarters.\nWhy You’ll Love It Here\nHigh-growth environment: Get in early at a company at the center of the AI infrastructure boom\nCompetitive compensation: + meaningful equity\nComprehensive benefits: for you and your dependents, including healthcare, dental, and vision coverage, 401(k), and unlimited PTO\nAndromeda Cluster is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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