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. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do

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, partnering 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. As an Account Solutions Architect covering APAC, primarily Japan, you’ll operate across the full stack — from model training and MLOps platforms like Weights & Biases to GPU infrastructure, networking, and inference. This role spans both winning new customers and helping them successfully adopt, expand, and scale on CoreWeave.

About the role

The Account Solutions Architect we are hiring for in Japan is the technical partner to both prospective and existing customers across CoreWeave’s full platform — infrastructure, Models, Weave, observability, and inference. You’ll partner with Sales to understand customer requirements, design solutions, lead technical evaluations and PoCs, and help win new business. Once customers adopt CoreWeave, you’ll continue as a trusted technical advisor, deepening platform adoption, identifying expansion opportunities, and helping customers scale their AI workloads in production. You’ll work closely with Specialist Field Engineers, Product, Engineering, and Support, while representing the voice of the customer internally. This role requires the successful candidate to be based in Japan, with regular in-person engagement with customers and partners; Tokyo-based candidates are strongly preferred.

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
Background in MLOps or LLMOps, with experience building workflows, platforms, and operational frameworks that enable internal teams and customers to develop, deploy, and scale AI applications more effectively
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
Business-level fluency in both English and Japanese, including the ability to lead technical discussions, deliver presentations, and engage with executive stakeholders in both languages.

Preferred

Familiarity one or more deep learning frameworks (PyTorch) and modern LLM stack (VLLM, langchain / LlamaIndex)
Familiarity with running AI workloads least one major cloud platform (AWS, GCP, or Azure)
Experience using Slurm or Kubernetes for ML job orchestration
Familiarity with NVIDIA GPU architectures (H100, A100, H200) and the software stack around them: CUDA, NCCL, cuDNN.
Prior experience in a technical pre-sales, post-sales, or solutions architecture role supporting new customer acquisition and onboarding

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.