AI Solutions Architect, Engaged — Field & Production ML

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, 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.