Account Solution Architect

CoreWeave • Toronto, ON

6d • CA$145,000 - CA$175,000

About The Position

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. The Field Engineering team owns the technical relationship with every CoreWeave customer, partnering with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle.
As an Account Solutions Architect, Engaged, Financial Services, you are the named technical partner for an existing portfolio of financial services customers across CoreWeave’s full platform: infrastructure, Models, Weave, observability, and inference. You’ll work with some of the most sophisticated AI and compute-intensive organizations in the market—quantitative trading firms, hedge funds, asset managers, and other financial institutions—who rely on AI, ML, and large-scale compute to drive business-critical outcomes.
You’ll help these customers solve real-world problems by deepening platform adoption, identifying and driving expansion opportunities, strengthening relationships with key technical stakeholders, and serving as a trusted advisor as they scale AI workloads in production. This includes understanding how financial services institutions approach model development, research velocity, evaluation, production deployment, governance, performance, reliability, and infrastructure efficiency. You’ll partner closely with Account Managers on the commercial motion, with Specialist Field Engineers for deep domain expertise, and with customer teams to make sure they are getting maximum value from CoreWeave, while representing the voice of the customer back into our product and engineering roadmaps.

Requirements

• 4+ years of relevant experience in a solutions engineering, AI-oriented solutions consulting, or technical field engineering role.
• Proficiency in Python, with hands-on experience training, fine-tuning, evaluating, and deploying deep learning models, including modern LLM architectures.
• Experience designing and deploying production LLM-powered applications for real-world customer use cases.
• 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.
• 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 Haves

• Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage.
• Familiarity with one or more deep learning frameworks (such as PyTorch) and modern LLM tooling (for example, VLLM, langchain, or LlamaIndex).
• 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).

Responsibilities

• 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.
• 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.
• Work hands-on with customer teams to train, fine-tune, evaluate, and deploy deep learning and LLM-based workloads into reliable, production-grade systems.
• Guide customers on how to structure their AI lifecycle—model development, research workflows, experimentation, evaluation, deployment, governance, observability, and optimization for performance and cost.
• Diagnose and resolve complex, often novel, technical challenges in partnership with enterprise engineering teams, unblocking progress on time-sensitive and business-critical workloads.
• 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.
• 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.

Benefits

• 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
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed