Compute Solution Architect

🔥 15 hours ago

🗽 New York – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 10%

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Logo of Mistral AI

Mistral AI

201 - 500 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Mistral AI is a company that builds frontier large language and generative AI systems, offering platforms, models, and services to help organizations develop, customize, and deploy AI agents and applications. They provide products like Vibe (an AI agent for long-horizon work and coding variants), Studio (tools to build, test, and run AI agents and apps), Forge (training, aligning, and evaluating custom models), and Compute (infrastructure for training and inference). They also offer APIs, models (e. g. , Mistral Medium 3. 5, Mistral Small 4, Mistral OCR 4, Voxtral TTS), enterprise services for model customization and deployment, and industry-specific solutions for finance, public sector, manufacturing, energy & utilities, and transportation. Mistral emphasizes on self-hosted and cloud-hosted deployment options, privacy-focused enterprise deployments, and provides frontier-scale infrastructure and expert services for building tailored AI solutions.

📋 Description

• Serve as the primary technical point of contact for AI Infrastructure services • Troubleshoot and resolve issues • Lead delivery of strategic GPUaaS contracts and ensure timelines, SLAs, and support commitments are met • Bridge product and support teams by providing customer feedback and relaying feature requests • Ensure alignment with customer requirements • Guide customers in optimizing GPU performance for ML training and inference workloads • Ensure seamless integration and scalability • Partner with sales to identify new opportunities and promote the latest products • Deliver technical presentations • Coordinate customers, sales, product, and support through deployment and production • Ensure infrastructure performs as expected and issues are resolved quickly

🎯 Requirements

• 5-10+ years in roles such as Cloud Solutions Architect, Technical Account Manager, or Customer Engineer • Hands-on experience with cloud services and AI/ML workloads • Track record as a technical pre-sales/solutions architect driving infrastructure engagements with partners through to production • Strong understanding of AI/ML concepts and advanced implementations • Proven success driving technical engagement and technical adoption • Working knowledge of cluster orchestration and scheduling: Slurm, Kubernetes, and batch/HPC workload management • Nice to have: working knowledge of model training frameworks/runtimes such as PyTorch, JAX, and TensorFlow • Nice to have: familiarity with Generative AI serving runtimes such as vLLM, TensorRT-LLM, SGLang, TGI, and LLM-D • Nice to have: proficiency with parallel file systems such as Lustre and GPFS and object storage integration • Nice to have: familiarity with InfiniBand/RDMA networking, parallel storage, and multi-node distributed training topologies

🏖️ Benefits

• Healthcare coverage • Parental leave • Retirement plans • Relocation support • Wellness programs • Meal allowances • Transportation allowances • Other location-specific perks

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