Account Solution Architect

Requirements

• We hire technical, AI Solution Architects who want to operate the full stack, own customer relationships end-to-end, and grow on a visible technical ladder that recognizes customer impact above all
• 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role
• Experience
• Proficiency in Python
• 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 customer use cases
• Experience working with financial services customers, such as quantitative trading firms, hedge funds, asset managers, banks, or other enterprise finance organizations, with an understanding of 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, often novel, technical problems with enterprise customers
• Excellent written and verbal communication and presentation skills, with the ability to translate technical concepts for both engineering and executive audiences
• (Desirable) Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage
• (Desirable) Familiarity with one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex)
• (Desirable) Experience using Slurm or Kubernetes for ML job orchestration
• (Desirable) Experience with hyperparameter optimization and experiment tracking tools
• (Desirable) Background in ML Engineering, AI Engineering, MLOps, or LLMOps
• (Desirable) Prior experience in a technical pre-sales or solutions architecture role focused on net-new logos or greenfield accounts
• (Desirable) Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems)
• This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency

What the job involves

• 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
• We partner with Sales, Support, Product, and Engineering to deliver technical success across the full customer lifecycle
• You’ll work hands-on with some of the most advanced AI teams in the world as they build, train, deploy, and scale their workflows
• Greenfield is where we meet the next generation of those teams — net-new customers that haven’t yet built on CoreWeave
• The Account Solutions Architect, Engaged, Financial Services is the named technical partner to existing 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, including quantitative trading firms, hedge funds, asset managers, and other financial institutions using 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 customers 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 ensure they are getting maximum value from CoreWeave
• You’ll represent the voice of financial services customers internally, surface product feedback from the field, and proactively address technical blockers and business-critical needs to ensure customer success
• This role is for customer-focused AI practitioners who understand the demands of financial services environments and are excited to help leading quant, hedge fund, and enterprise finance teams deepen their partnership with CoreWeave and scale the next generation of AI workloads in production
• Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match
• Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk:
• You'd rather show than tell — you build the demo or PoC instead of just pitching it
• You get excited by empty whiteboards —new customers, novel problems, new playbooks for AI natives
• You're genuinely curious about your customers' work — what they're building, what's getting in their way, what success looks like for them