Senior Solutions Architect, AI Infrastructure Enterprise ISVs

What you'll do

• Partner with ISVs on discovery, architecture reviews, technical deep dives, and production deployment guidance.
• Advise customers on the design, build-out, and optimization of large-scale accelerated AI infrastructure.
• Support infrastructure design across compute, networking, storage, containers, observability, and security.
• Drive adoption of systems monitoring and telemetry tools to improve cluster utilization and performance.
• Build repeatable reference architectures, deployment guides, sizing guidance, and technical playbooks.
• Provide technical expertise on GPU and networking systems for AI data center production deployment.
• Evaluate cluster performance using benchmarks such as MLPerf and workload-specific performance tests.

What we're looking for

• BS, MS, or PhD in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience).
• 8+ years of hands-on experience in AI infrastructure, accelerated computing, distributed systems, cloud infrastructure, HPC, or ML platforms.
• Strong experience designing, deploying, and operating accelerated computing infrastructure at scale.
• In-depth knowledge of AI cluster orchestration, scheduling, automation, and CI/CD deployment pipelines.
• Understanding of data center networking technologies such as InfiniBand, Ethernet, RDMA, and network performance tuning.
• Familiarity with infrastructure requirements for AI workloads, including distributed training, inference serving, and cluster reliability.
• Excellent presentation, communication, problem-solving, documentation, and collaboration skills.
• Experience architecting AI factories, large GPU clusters, or deploying LLM training and RAG workflows (preferred).