CoreWeave
Financial Services
AccountSolutionArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Account Solution Architect at CoreWeave. Skills: AI Cloud, LLM, Financial Services, Solution Architecture. Own technical relationship. Deliver technical success”
What You'll Achieve.
Scale AI workloads; Drive business-critical outcomes; Ensure customer success
Industry & Context.
Solve complex problems; Solve novel problems
Export controlled information access
What They're Looking For.
Must Have
4+ years of experience, Proficiency in Python, Hands-on training deep learning models, Deploy production LLM applications, Experience with financial services customers, Familiarity with major cloud platform, Solve complex technical problems
Nice to Have
Working knowledge cloud infrastructure, Familiarity deep learning frameworks, Familiarity modern LLM stack, Experience using Slurm, Experience using Kubernetes, Experience hyperparameter optimization, Experience experiment tracking tools, Background ML Engineering, Background AI Engineering, Background MLOps, Background LLMOps, Prior pre-sales role, Prior solutions architecture role, Familiarity high-performance GPU infrastructure
What You'll Do.
Own technical relationship
Deliver technical success
Work hands-on with AI teams
Own customer relationships
Serve as trusted advisor
Deepen platform adoption
Identify expansion opportunities
Drive expansion opportunities
Strengthen relationships
Understand model development
Understand research velocity
Understand evaluation
Understand production deployment
Understand governance
Understand performance
Understand reliability
Understand infrastructure efficiency
Partner with Account Managers
Partner with Specialist Field Engineers
Ensure customer value
Represent customer voice
Surface product feedback
Address technical blockers
Address business-critical needs
Ensure customer success
How You'll Work.
Team & Collaboration
Partner with Sales; Partner with Support; Partner with Product; Partner with Engineering; Partner with Account Managers; Partner with Specialist Field Engineers; Partner with customer teams
Communication Scope
Written communication; Verbal communication; Presentation skills; Translate technical concepts
Full Job Description
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You’ll Do: 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. 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. About the role: 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
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