About the Company
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.
About the Role
The Account Solutions Architect, Federal is the named technical partner for U.S. government agencies across CoreWeave's full platform — spanning infrastructure to inference. You'll work alongside federal customers to design AI workloads that meet mission requirements while aligning with federal AI compliance standards. You'll lead proofs of concept end-to-end, partner with Account Executives and federal teams on technical strategy, and serve as the bridge between mission needs and our engineering, security, and compliance organizations.
Responsibilities
- Serve as the named technical partner for federal customers across CoreWeave's full platform
- Provide technical guidance on running AI workloads in regulated environments, including FedRAMP, DoD Impact Levels (IL2–IL6), and emerging AI-specific federal standards
- Represent the voice of the federal customer internally — distilling requirements, compliance gaps, and federal use case patterns back to Product, Security, and Engineering
- Build reference architectures and enablement content for federal engagements, raising the technical bar of the federal field organization as it scales
Requirements
- U.S. Citizenship and an active U.S. government security clearance (Secret minimum; TS/SCI strongly preferred); must be eligible to obtain and maintain higher levels of clearance
- 5+ years in a solutions engineer, solutions architect, or technical field engineering role, with at least 3 years supporting federal customers
- Strong Python proficiency and hands-on experience training, fine-tuning, evaluating, and deploying modern deep learning models, including LLMs; experience designing and deploying production agentic applications for real customer use cases
- Working knowledge of federal cybersecurity frameworks and authorization processes, plus familiarity running AI workloads on at least one major cloud platform (AWS/GovCloud, Azure/Government, or GCP/Government)
- Preferred: Active TS/SCI clearance, ideally with a current CI or Full Scope Polygraph; Familiarity with deep learning frameworks (PyTorch) and the modern LLM stack (vLLM, LangChain, LlamaIndex); Working knowledge of cloud infrastructure for AI workloads, including GPU compute, high-performance networking, and storage; Experience using Slurm or Kubernetes for ML job orchestration, especially in air-gapped or classified environments; Background in ML Engineering, AI Engineering, MLOps, or LLMOps with public sector or defense customers
Conditions
- Base salary range: $165,000 to $220,000
- Opportunity to work on impactful AI projects
- International environment and talented teams