The role involves architecting and demonstrating AI and HPC storage solutions, advising clients on high-value AI use cases, and leading technical pilots to position the company as a leading AI data partner in the METCA region.
Key Responsibilities
Conduct discovery workshops to identify high-value AI use cases and evangelize Everpure's value to stakeholders
Collaborate with field architects to design end-to-end AI pipelines from data ingestion to model inference
Lead engineering sizing sessions and execute Proof of Value pilots demonstrating storage and HPC performance
Translate technical metrics into measurable business outcomes such as reduced training time and OpEx
Build and present content webinars and deep dives with partners to promote Everpure as the AI Data Partner of Choice
Requirements
Ten years of enterprise experience building and deploying AI, ML, or HPC solutions, with a proven track record of meeting multi-million dollar quotas.
Mastery of AI frameworks such as PyTorch and TensorFlow, orchestration tools like Kubernetes and Slurm, and high-performance compute environments including GPU, ASIC, and FPGA.
Expert-level knowledge of the analytics landscape, including Spark, Snowflake, Kafka, MongoDB, and Elastic Search, and how they integrate into a virtualised or containerised data fabric.
Ability to travel 50-60% across the METCA region to support high-touch customer and partner engagements.
Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or equivalent deep-field experience.
Benefits & Perks
Flexible time off
Wellness resources
Company-sponsored team events
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