Account Solutions Architect - Engaged

CoreWeave; Austin (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

CoreWeave, the AI-first cloud platform, seeks an Account Solutions Architect, Engaged to deepen technical partnerships with existing customers. You will own the full stack, work with Sales and Engineering to expand platform adoption, and drive trusted advisory support as clients scale AI workloads in production.

This role targets customer-focused AI practitioners who can translate complex concepts for executives, and you will influence product feedback and roadmap alignment with business goals.

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 designing and deploying production LLM-powered applications for customer use cases
• 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

Responsibilities

• Own the technical relationship with CoreWeave customers and drive platform adoption.
• Collaborate with Account Managers and Field Engineers to expand opportunities and ensure customer success.
• Provide feedback from the field to product teams and address blockers.

Skills

Python

LLM deployment

Cloud platforms (AWS/GCP/Azure)

Communication

ML model training/evaluation

Kubernetes

Problem solving

Customer engagement

Tools

PyTorch

Langchain

Slurm

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 is the named technical partner to existing customers across CoreWeave’s full platform — infrastructure, Models, Weave, observability, and inference. You’ll help AI teams 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 customers scale their 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 the customer 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 are excited to help leading AI companies 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.
• 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
• 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 play