Account Solution Architect, CoreWeave
The essential cloud for AI
Be an early applicant
The essential cloud for AI
1001+ employees
Be an early applicant
1001+ employees
Company mission
To manage the complexities of AI growth to make supercomputing accessible and push the limits of what's possible.
Role
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
Desirable
- 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)
What the job involves
- 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
- The Account Solutions Architect is the named technical partner to prospective customers across CoreWeave’s full platform — infrastructure, models, Weave, observability, and inference
- You’ll help AI teams solve real-world problems by designing custom demos, leading proofs of concept (PoCs) end-to-end, and acting as a trusted advisor on best practices from the first technical conversation through production and expansion
- You’ll partner closely with Account Executives on the commercial motion, with Specialist Field Engineers for deep domain expertise, and act as a trusted advisor on best practices for AI workloads
- You’ll represent the voice of the customer internally and help shape the product roadmap based on what you see in the field
- This role is for customer-focused AI practitioners who are excited to bring the next generation of AI companies onto CoreWeave
Our take
As AI continues to dominate the tech landscape, the demand for faster, more efficient cloud infrastructure is only intensifying. Traditional cloud providers often struggle with the sheer speed and scale required to power advanced AI models, leaving a gap for more specialized players. And that's where CoreWeave comes in, a company purpose-built to handle the heavy computational lift that the AI era demands.
CoreWeave's story is an interesting one too. What began in 2017 as a small crypto mining venture has evolved into one of the leading AI-focused cloud providers in the world. Its data centers are packed with high-end GPUs optimized for machine learning and generative AI, serving major clients like Microsoft and OpenAI. By designing its infrastructure around the needs of modern AI workloads rather than retrofitting older systems, CoreWeave has carved out a distinct and highly valuable niche in the market.
That focus in paying off in a big way too. Analyst project CoreWeave's revenue to soar from $5.3B in 2025 to the mid-$20Bs by 2028, up from just $16M in 2022. While there is competition from tech giants like Amazon and Google, CoreWeave's speed, specialization, and bold investment strategy put in in a very powerful position to keep riding (and helping shape) the AI boom.
Steph
Company Specialist at Welcome to the Jungle
Insights
194% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
May 2024
$1.1bn
SERIES C
May 2023
$200m
SERIES B
Total funding: $1.7bn
Company HQ
Civic Center, New York, NY
Leadership
Michael Intrator
(Co-Founder & CEO)Previously, Michael was a Principal Portfolio Manager at Natsource Asset Management for over 15 years. He also served as the CEO of Hudson Ridge Asset Management before co-founding CoreWeave in 2018.
Brian Venturo
(Co-Founder & CSO)Brian spent nearly 6 years at Natsource Asset Management as a Portfolio Manager before becoming a Partner at Hudson Ridge Asset Management. After co-founding CoreWeave he served as the CTO until 2024 when he moved into his current role of Chief Strategy Officer.
Brannin McBee
(Co-Founder & CDO)Brannin has a history in Proprietary Trading, having previously worked at Windy Bay Power and Active Power Investments. He also served as a VP at Fourth Floor Coastal and as an Associate at Elustria Capital PArtners.
Peter Salanki
(Co-Founder & CTO)Peter Previously served as a Director of Americas at Sandvine. Prior to that, he spent 11 years at Procera Networks as a Solutions Architect, Lead Architect, and Principal Solutions Architect.
Nitin Agrawal
(CFO)Nitin joined CoreWeave in 2024 as CFO. Prior to this, he was the VP of Finance at Google Cloud and CFO at Mapbox. He also spent nearly 5 years at AWS as CFO of Compute Services and 7 years at Microsoft as Group Manager of Finance.
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