Technical Solutions Architect - AI Platforms & Architecture

5+ years of experience in enterprise storage and data platform solutions, with demonstrated ability to both assess technical fit and advise customers on AI data readiness strategy, including: 

 

Storage & Data Infrastructure 

• Deep working knowledge of high-performance parallel file systems 

• Strong familiarity with enterprise NAS and object storage platforms  

• Ability to evaluate storage platform fit against AI workload requirements, including training, checkpointing, and inference, without necessarily performing the hardware sizing or implementation 

NVIDIA AI Data Platform 

• Working knowledge of NVIDIA AI Data Platform design requirements, reference architectures, and validation frameworks  

• Understanding of GPU-Direct Storage, NVAIE, and Mission Control as capabilities, with the ability to articulate their value and applicability to customer AI use cases  

• Familiarity with how AIDP-validated storage platforms integrate with NVIDIA compute architectures including DGX, HGX, MGX, and OVX 

Data Pipelines & Frameworks 

• Working knowledge of data pipeline patterns and orchestration tools including Apache Spark, Ray, Dask, and Apache Airflow, sufficient to advise on design fit and architectural trade-offs  

• Understanding of data lakehouse and data fabric concepts including Delta Lake, Apache Iceberg, Apache Hudi, and Unity Catalog  

• Familiarity with data ingestion and movement tools such as Apache Kafka, Apache NiFi, and Airbyte 

Professional Skills 

• Demonstrated ability to engage executive and technical audiences with equal fluency 

• Experience delivering advisory workshops, architecture presentations, and strategic recommendations to enterprise customers 

• Strong written communication skills; capable of producing thought leadership content, briefings, and reference architectures 

• Sound organizational skills and ability to manage multiple concurrent customer engagements 

 

Nice to Have 

• Python scripting for data pipeline automation or storage performance testing 

• Experience with NVIDIA Run:ai, Slurm, or other workload schedulers as they relate to storage I/O optimization 

• Previous exposure to NVIDIA Enterprise and NCP reference architectures 

• Experience with cloud storage integration: AWS S3, Azure Blob, Google Cloud Storage, and hybrid data fabric designs 

• Familiarity with data governance, data cataloging, and compliance frameworks in AI environments 

 

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $125,000.00 to $156,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. 

 

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

• Health and Wellbeing: Health, Dental, and Vision Care,