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Account Solution Architect

Join CoreWeave as an Account Solution Architect to deepen partnerships with AI teams and scale their workloads on a cutting-edge platform.

Location
San Francisco, CA
Compensation
$143k–$210k/yr
Level
senior
Type
full time

Posted by employer 4 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 1 day ago

AI in the day-to-day

CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.

Requirements

Experience
4+ years

Not disclosed in this posting: work arrangement, visa sponsorship.

Benefits

401k Match Education Budget Flexible PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

The Account Solutions Architect at CoreWeave plays a crucial role in managing technical relationships with existing customers, focusing on enhancing platform adoption and addressing their AI workload challenges. This position requires proficiency in Python and hands-on experience with deep learning models, particularly in deploying LLM-powered applications. Ideal candidates have a background in solutions engineering or technical field roles, with a strong emphasis on customer engagement and problem-solving. CoreWeave's dynamic environment offers opportunities for growth as the company continues to expand its AI-first cloud services.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Coreweave's careers page October 27, 2026.
  • This exact title is also open at 2 other locations at Coreweave: New York, NY , London, UK.
  • Salary band is below the typical range for AI/ML roles (median ~$190,000).
  • Starts above 6% of 200 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 70 companies). See Python salary trends
  • Python appears in 52.6% of 544 comparable senior ai/ml roles in United States; Slurm appears in 1.5% of 544 comparable senior ai/ml roles in United States.

Quick facts

What's the salary range?
Coreweave lists $143,000–$210,000 for this role.
How much experience is required?
At least 4 years of relevant experience for this Account Solution Architect role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Azure, Deep Learning, GCP, Kubernetes, LLM.
What seniority level is this role?
Coreweave targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Account Solution Architect role at Coreweave.

From the original posting

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 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:

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

The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

California Applicants

California Consumer Privacy Act

Standard company text repeated across Coreweave's postings is omitted here.

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