Architect Jobs

About The Position

Requirements

• 5-10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in 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 Haves

• Working knowledge of model training frameworks runtimes (e.g., PyTorch, JAX, Tensorflow) and Generative AI serving runtimes (e.g., vLLM, TensorRT-LLM, SGLang, TGI, LLM-D).
• Proficiency with parallel file systems (e.g., Lustre, GPFS) and object storage integration.
• Familiarity with high-performance infrastructure: InfiniBand/RDMA networking, parallel storage, and multi-node distributed training topologies.

Responsibilities

• Serve as the primary technical point of contact, troubleshooting and resolving issues for AI Infrastructure services.
• Lead the delivery of strategic GPUaaS contracts and ensure all commitments are met, including timelines, SLAs, and support.
• Act as a bridge to product and support teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Engage directly with key customer stakeholders, including Founders, CTOs, Research Engineers, and Heads of Infrastructure.

Benefits

• healthcare coverage
• parental leave
• retirement plans
• relocation support
• wellness programs
• meal and transportation allowances