CoreWeave
Account Solution Architect - Financial Services
$143K–$210K
New York, NY +1 · Full-time · Posted Jun 8, 2026
- Location
- New York, NY
Manhattan, New York, United States - Experience
- 4+ years of relevant experience.
- Visa sponsorship
- Requires eligibility to access export-controlled information: U.S. person status, eligibility to access without export authorization, or eligibility and reasonable likelihood of obtaining the required authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.
About the job
Serves as the technical partner to existing financial services customers, helping them adopt and expand CoreWeave’s AI platform and run production AI workloads successfully.
What you'll do
- Advise financial services customers on AI workload development, evaluation, deployment, governance, performance, reliability, and infrastructure efficiency.
- Drive platform adoption and expansion, strengthen technical relationships, and resolve technical blockers in partnership with internal teams.
- Represent customer needs internally and share product feedback with CoreWeave teams.
What they ask for
- 4+ years of relevant experience in solutions engineering, AI-oriented solutions consulting, or technical field engineering.
- 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.
- Experience with financial services customers and familiarity with AI workloads on at least one major cloud platform (AWS, GCP, or Azure).
Nice to have
- Working knowledge of AI cloud infrastructure and familiarity with PyTorch, VLLM, langchain / LlamaIndex, Slurm, or Kubernetes.
- Experience in ML Engineering, AI Engineering, MLOps, or LLMOps; technical pre-sales or solutions architecture experience is also valued.
Pay
$143,000 to $210,000 USD (base salary)
Tools
Python, AWS, GCP, Azure, PyTorch, VLLM, langchain, LlamaIndex
AI focus
Supports customers training, fine-tuning, evaluating, deploying, and scaling deep learning and LLM workloads in production on CoreWeave’s AI platform.
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