# Account Solution Architect **Company**: CoreWeave **Location**: Toronto, ON **Experience**: senior **Job type**: full-time **Salary**: CAD $145,000/CAD to $175,000/CAD **Category**: Engineering **Industry**: Technology **Apply**: https://job-boards.greenhouse.io/coreweave/jobs/4686692006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_a4bf411c-984 ## Description 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. 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. ## What You’ll Do - 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. ## Who You Are Minimum qualifications: - 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. ## 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 ## Skills ### Required - Python - deep learning - LLM architectures - cloud platforms - technical problem-solving - communication skills ### Nice to have - cloud infrastructure for AI workloads - GPU compute - high-performance networking - storage - deep learning frameworks - modern LLM tooling - Slurm or Kubernetes for ML job orchestration - hyperparameter optimization - experiment tracking tools - ML Engineering - AI Engineering - MLOps - LLMOps --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/coreweave/jobs/4686692006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)