Job Description

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. 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 (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
• Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
• Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program

Note: This is not an all-encompassing list and should not be used as a complete description of the plan’s benefits. For more information, see our US benefits website at wwt.com/us-benefits.

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all!

If you require accessibility accommodation(s) or adjustment during any stage of the hiring

process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.

World Wide Technology is an Equal Opportunity Employer.

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Qualifications

Why WWT?

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.

Founded in 1990, WWT brings together strategy, deep technical expertise and world-class

partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)—a collaborative ecosystem featuring state-of-the-art hardware and software—WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distribution capabilities.

With more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

What will you be doing?

World Wide Technology is seeking a Technical Solutions Architect (TSA) – AI Storage & Data Platforms to join our AI & High-Performance Architectures (HPA) practice within the Global Solutions & Architecture (GS&A) team. This is a strategic, customer-facing role focused on architecting and delivering high-performance storage, data platform, and data pipeline solutions that power AI and machine learning workloads at scale.

You will serve as WWT's subject matter expert on AI data infrastructure, spanning the full stack from raw storage and data movement to data frameworks, lakehouse architectures, and NVIDIA AI Data Platform design, working alongside our world-class ecosystem partner Everpure

Why Join the AI & Data Team?

Our AI & Data Team sits at the intersection of infrastructure and intelligence, designing the data foundations that make AI possible. You'll work with the most advanced storage, data platform, and AI technologies on the market, alongside the partners shaping the modern AI and data ecosystem. As part of WWT's Global Solutions & Architecture organization, the team turns emerging technology into production-ready solutions and uses the Advanced Technology Center to prove out architectures before they reach a customer environment. This is a high-visibility role with direct impact on WWT's AI go-to-market strategy and our customers' most ambitious AI initiatives.

What You'll Own

AI Data Platform Architecture Lead the design and sizing of end-to-end AI data infrastructure, from GPU-Direct Storage and high-performance parallel file systems to data lakehouse and data fabric architectures, aligned to NVIDIA AI Data Platform design requirements and partner reference architectures.

Partner Solution Development Serve as WWT's technical lead for our storage and data platform partner ecosystem, working closely with our strategic ecosystem partnerEverpure Develop and maintain joint solution designs, reference architectures, and go-to-market plays.

Pre-Sales & Customer Engagement Engage directly with customers to assess AI data infrastructure requirements, define architectures, and deliver compelling solution proposals — including HLDs, BOMs, and LLDs — for enterprise and hyperscale AI workloads.

Field Enablement & Thought Leadership Develop and deliver training, briefings, workshops, and reference architectures that enable WWT's field teams and partners to position and sell AI storage and data platform solutions with confidence.

Pipeline & Business Development Collaborate with regional architects, sales leadership, and the broader GS&A practice to identify, qualify, and advance new business opportunities in the AI data infrastructure space.

Practice & Partner Alignment Maintain OEM and partner certifications, track product roadmaps, and align WWT's go-to-market strategy with partner initiatives, including NVIDIA AI Data Platform certifications and the Everpure partner program

Responsibilities

• Advise customers on AI Data Readiness strategy, assessing current data infrastructure, pipeline maturity, and platform capabilities against the requirements of their targeted AI use cases

• Translate NVIDIA AI Data Platform features, including GPU-Direct Storage, NVAIE, and Mission Control, into tangible business and workload outcomes for enterprise customers and field audiences

• Develop and deliver AI Data Readiness workshops, assessments, and frameworks that help customers identify gaps between their current data environment and the requirements of production AI

• Guide customers on how AIDP-validated platforms such as VAST, Weka, Dell PowerScale, and NetApp ONTAP AI enable specific AI use cases across training, inference, and MLOps workflows

• Partner with HPA and infrastructure architects to provide advisory context on how data strategy, pipeline design, and platform selection affect AI Factory outcomes at the customer level

• Develop use case guidance on how data pipeline and framework design choices, including orchestration, transformation, and ingestion patterns, affect AI workload performance and data readiness

• Create enablement content, including briefings, workshops, reference architectures, and thought leadership, that equips WWT field teams to confidently position AIDP value in customer conversations

• Support field teams with deal-level advisory, translating AIDP platform capabilities into business justification and customer outcomes

• Maintain current knowledge of AIDP roadmap, certifications, and partner program requirements to ensure WWT's advisory position reflects the latest capabilities

• Participate in AI and Data Team meetings, partner briefings, and training to remain aligned across the practice

• Travel as required to customer sites, partner events, and WWT facilities

Travel Requirements: 25–50%