CoreWeave

CoreWeave

Account Solution Architect

Toronto, ON

Sponsorship not specifiedDetected 5 days ago
PythonSpringAWSGCPAzureCloud PlatformsKubernetesMachine LearningDeep LearningPyTorchLLMsLLMOpsMLOpsA/B TestingResearchCommunicationCollaborationPublic SpeakingMicrosoft Office

About the role

  • CoreWeave is the AI-first cloud where every layer, from compute and networking through orchestration, observability, and the broader AI tooling stack, is purpose-built for AI workloads.
  • This includes understanding how financial services institutions approach model development, research velocity, evaluation, production deployment, governance, performance, reliability, and infrastructure efficiency.

Responsibilities

  • Deepen platform adoption by uncovering new use cases, mapping workloads to CoreWeave capabilities, and designing end-to-end solutions that drive expansion and long-term customer value.
  • Partner tightly with Account Managers on account strategy and with Specialist Field Engineers, Product, and Core Infrastructure teams to align solutions with customer roadmaps and CoreWeave capabilities.
  • Family-Forming support provided by Carrot

Requirements

  • 4+ years of relevant experience in a solutions engineering, AI-oriented solutions consulting, or technical field engineering role.
  • Experience designing and deploying production LLM-powered applications for real-world customer use cases.
  • Familiarity with running AI workloads on at least one major cloud platform (AWS, GCP, or Azure).
  • Demonstrated ability to break down and solve complex, ambiguous, and often novel technical problems in collaboration with enterprise customer teams.
  • Excellent written and verbal communication skills, including the ability to translate deep technical concepts for both engineering stakeholders and senior business or executive audiences.

Nice to have

  • Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage.
  • Experience using Slurm or Kubernetes for ML job orchestration at scale.
  • Experience with hyperparameter optimization and experiment tracking tools.
  • Background in ML Engineering, AI Engineering, MLOps, or LLMOps.
  • Prior experience in a technical pre-sales or solutions architecture role, ideally focused on net-new logos or greenfield accounts.
  • Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, and parallel file systems).
  • Wondering if you're a good fit?
  • If some of this describes you, we'd love to talk.

Skills

  • CoreWeave is The Essential Cloud for AI™.

Compensation

  • Compensation and benefits

Benefits

  • In addition to a competitive salary, we offer a variety of benefits to support your needs.
  • The benefits below reflect our US-based offerings
  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • for roles in other locations, benefits vary and are shared during the hiring process.

Company info

  • Learn more at www.coreweave.com.
  • CRWV) in March 2025.
  • As an Account Solutions Architect, Engaged, Financial Services, you are the named technical partner for an existing portfolio of financial services customers across
  • Serve as the named solutions architect and primary technical point of contact for an existing book of financial services customers across CoreWeave's full AI platform.
  • Guide customers on how to structure their AI lifecycle-model development, research workflows, experimentation, evaluation, deployment, governance, observability, and optimization for performance and cost.
  • Represent the voice of financial services customers internally by surfacing product gaps, performance requirements, and feature requests, and collaborating with internal teams to address them.
  • Create and deliver technical content-architecture recommendations, demos, workshops, and executive-ready presentations-that helps customers scale the next generation of AI workloads on CoreWeave.
  • Experience working with financial services customers (e.g., quantitative trading firms, hedge funds, asset managers, banks, or other enterprise finance organizations) and understanding their unique technical, operational, and business-critical requirements.

Equal opportunity

  • Export Control Compliance
  • This position requires access to export controlled information.
  • CoreWeave may, for legitimate business reasons, decline
  • careers@coreweave.com.

Visa & Work Authorization

  • Export Control Compliance
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This listing is sourced directly from CoreWeave's careers page and normalized into a canonical job model.