AI Solutions Architect — Enterprise Cloud & AI

Marimo Inc.; Atlanta (GA); On-site; USD 182,000 - 242,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Paid parental leave

Flexible PTO

Catered lunch

Job summary

CoreWeave is hiring an Account Solutions Architect, Engaged in the US. You’ll own the technical relationship with customers, drive platform adoption across infrastructure, Models, Weave, observability, and inference, and partner with sales and field engineers to ensure successful AI workloads in production.

You should have 4+ years in a solutions engineer or similar role, Python proficiency, and experience training and deploying DL/LLM solutions on at least one cloud platform.

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

• You’ll help AI teams solve real-world problems by deepening platform adoption and expanding opportunities.
• You’ll partner with Account Managers, Specialist Field Engineers, and customer teams to maximize value from CoreWeave.

Skills

Python

AI Solutions

LLM deployment

Cloud platforms

Communication

Tools

Kubernetes

Slurm

PyTorch

Langchain

Job description

CoreWeave is hiring an Account Solutions Architect, Engaged in the US. You’ll own the technical relationship with customers, drive platform adoption across infrastructure, Models, Weave, observability, and inference, and partner with sales and field engineers to ensure successful AI workloads in production.

You should have 4+ years in a solutions engineer or similar role, Python proficiency, and experience training and deploying DL/LLM solutions on at least one cloud platform.