Strategic AI Solutions Architect – Financial Services

Fdetimes; New York (NY); On-site; USD 143,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance—

401(k) with employer match

Paid Parental Leave

Tuition Reimbursement

Employee Stock Purchase Program (ESPP)

Flexible PTO

Job summary

CoreWeave, founded in 2017 and publicly traded since 2025, is hiring an Account Solutions Architect for financial services accounts. You will work across infrastructure, models, Weave, observability, and inference, partnering with account managers and field engineers to drive adoption and expansion of AI workloads in production.

You will engage with quantitative trading firms, hedge funds, asset managers, and other enterprise finance teams to understand governance, performance, and reliability

Qualifications

• 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 deploying production LLM‑powered applications for customer use cases.
• Experience with financial services customers (quantitative trading, hedge funds, asset managers, banks) and their technical needs.

Responsibilities

• Own the technical relationship with CoreWeave customers in the financial services sector across the full platform.
• Deepen platform adoption, identify expansion opportunities, and address blockers to ensure customer success.
• Collaborate with Account Managers and Specialist Field Engineers to deliver value and guidance.

Job description

CoreWeave, founded in 2017 and publicly traded since 2025, is hiring an Account Solutions Architect for financial services accounts. You will work across infrastructure, models, Weave, observability, and inference, partnering with account managers and field engineers to drive adoption and expansion of AI workloads in production.

You will engage with quantitative trading firms, hedge funds, asset managers, and other enterprise finance teams to understand governance, performance, and reliability