Account Solution Architect - Financial Services

FDE Times; United States; Sur place; USD 140 000 - 230 000; Plein temps

Résumé du poste

CoreWeave, The Essential Cloud for AI™, is seeking an Account Solutions Architect to own the technical relationship with financial services customers. You will engage across infrastructure, models, observability, and AI tooling to drive production workloads and platform adoption.

You’ll partner with sales and engineering teams to expand the customer footprint while solving complex, scalable AI problems for top quant firms and asset managers. Strong Python and DL deployment skills are required.

Qualifications

• 4+ years in a solutions engineer or AI-focused field engineering role.
• Experience with training, fine-tuning, evaluating, and deploying deep learning models.
• Experience working with financial services customers and understanding their needs.
• Excellent written and verbal communication for both technical and executive audiences.

Responsabilités

• Own technical relationship with CoreWeave customers across the full platform.
• Collaborate with Account Managers, Specialist Field Engineers, and client teams to maximize value.
• Deepen platform adoption and identify expansion opportunities in financial services clients.
• Translate complex AI concepts into actionable outcomes for customers and stakeholders.
• Address technical blockers and ensure customer success throughout production workloads.

Connaissances

Python

DL deployment

LLM architectures

Cloud platforms

Financial services

Stakeholder communication

Outils

PyTorch

Kubernetes

Slurm

LlamaIndex

langchain

VLLM

Description du poste

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.

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, 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.

Who You Are

• 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 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: (if applicable)

• Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high‑performance networking, and storage.
• Familiarity 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).

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.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

About

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.