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As of Jul 27, 2026, the average yearly pay for architect financial company in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.
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Infographic showing various Architect Financial Company job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 92% Full Time, 1% Part Time, 4% Contract, and 1% Summer. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.
Account Solution Architect - Financial Services

Account Solution Architect - Financial Services

CoreWeave

Manhattan, NY • On-site

$69.25 - $91.50/hr

Full-time

Posted 18 days ago

Job description

Job Summary:
CoreWeave is The Essential Cloud for AI™, providing a platform that enables innovators to build and scale AI with confidence. The Account Solutions Architect will serve as the technical partner for financial services customers, helping them deepen platform adoption and solve complex problems related to AI workloads in production.
Responsibilities:
• 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.
• 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.
• 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.
Qualifications:
Required:
• 4+ years of relevant experience in a solutions engineer, AI-oriented solutions consultant, or technical field engineering role.
• 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
Preferred:
• Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage
• Familiarity with one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex)
• Experience using Slurm or Kubernetes for ML job orchestration
• 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 focused on net-new logos or greenfield accounts
• Familiarity with high-performance GPU infrastructure (e.g., NVIDIA H100/H200/B200, InfiniBand networking, parallel file systems)
Company:
CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in Livingston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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