AI Solutions Architect - Enterprise Cloud & Production AI

Fdetimes; San Francisco (CA); On-site; USD 143,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Equity awards

Discretionary bonus

Job summary

CoreWeave is the AI-first cloud provider building a platform for AI workloads. The Account Solutions Architect, Engaged serves as the named technical partner to existing customers across CoreWeave’s full platform, helping teams deploy and scale AI workloads in production.

You’ll deepen platform adoption, identify expansion opportunities, and partner with Account Managers, Specialist Field Engineers, and customer teams to ensure success while surfacing customer feedback to product teams.

Qualifications

• 4+ years 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).

Responsibilities

• Own the technical relationship with existing CoreWeave customers across the platform.
• Deepen platform adoption, identify expansion opportunities, and drive customer success.
• Collaborate with Account Managers, Specialist Field Engineers, and customer teams to deliver value and surface feedback.

Skills

Solutions engineering

Python

DL model training

LLM deployment

Cloud platforms (AWS/GCP/Azure)

Tools

PyTorch

Job description

CoreWeave is the AI-first cloud provider building a platform for AI workloads. The Account Solutions Architect, Engaged serves as the named technical partner to existing customers across CoreWeave’s full platform, helping teams deploy and scale AI workloads in production.

You’ll deepen platform adoption, identify expansion opportunities, and partner with Account Managers, Specialist Field Engineers, and customer teams to ensure success while surfacing customer feedback to product teams.