AI Factory

Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. Founded in 1990, World Wide Technology (WWT) is a global technology solutions provider leading the AI and Digital Revolution. With more than $20 billion in annual revenue, WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for large public and private organizations. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 10,000 employees and more than 55 locations around the world, WWT’s culture, built on a set of core values and established leadership philosophies, has been recognized 13 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all. With this culture at its foundation, WWT bridges the gap between business and technology to make a new world happen for its customers, partners and communities. Want to work with highly motivated individuals on high-performance teams? Join WWT today World Wide Technology is looking to add a Compute Technical Solutions Architect to join our Global Solutions & Architecture Practice. Why you should join our AI & High-Performance Architectures (HPA) team? World Wide Technology, Inc. seeks a Technical Solutions Architect (TSA) to deliver our AI & High-Performance Architectures (HPA) solutions to our customers in support of AI & Data Analytics workloads. This strategic position will reside within the AI Practice and as part of the overall Global Solutions & Architectures (GS&A) team. This resource will be responsible for developing and executing the overall HPA go-to-market with a focus on accelerated Computing Infrastructure and High-Performance Architectures centered around AI Factories. (High-Performance Computing, Networking, and Storage supporting, Artificial Intelligence, and Machine Learning). This role will include assisting customers with the adoption and sizing of GPU hardware as well as building and deploying GPU-accelerated technologies. In collaboration with other AI Solutions and HPA engineers, consultants, executives, regional architects, and sales leadership, responsibilities include: Identify and drive new business opportunities with the WWT field organization. Size and design HPA & AI Factory environments based on model type and customer use case defined by the line of business or needs of the architecture teams. Promote HPA solution designs and configurations based on customer-specific requirements. Develop & deliver messaging that informs field-based training, enablement, and sales support. These items may include brochures, briefings, workshops, reference architectures, advisory services, and demos. Train WWT and/or partners through roadshows and briefings on our unique ability to market, sell and deliver Compute solutions. Design GPU-accelerated technologies remotely, assist with HLD, BOM, and LLD requirements on-site at customer locations as needed (DGX- Hopper, Blackwell, L40S, RTX Pro 6000, HGX, MGX, OVX, AMD Instinct, Intel Gaudi). Assist in development and delivery of Global Solutions and Architecture (GS&A) team Market Scans for comparing and contrasting key OEM solutions across our HPA Portfolio. A strong understanding of AI workload management and tools like Aarna, Apolo, Rafay, ClearML, and others including the NVIDIA software suite. Collaborate and align with our professional services organization to set the strategy for growing our HPA and AI services business. Participate in regular virtual team meetings and training related to HPA and AI Factory products and solutions. Support business development and marketing initiatives as needed. Achieve OEM certification requirements to maintain partner status across HPA. Develop partner ecosystems and relationships complementary to WWT’s go-to-market strategy where applicable. Drive partner product announcements, software updates, and product roadmaps. Assist in developing a go-to-market strategy for WWT to grow the AI & HPA business. Work with internal collaborators including adjacent practices, partner management, sales operations, and marketing to accelerate data strategy business. Qualifications At least 5 years selling, architecting, implementing, and/or marketing compute solutions, including the following solutions areas and products: Supporting strategic sales initiatives. Accelerated, Edge, and High-Performance Computing platforms from NVIDIA, AMD, Intel, Dell, and HPE, including blade, rack‑mount, and modular solutions. Working with our storage experts and networking experts and a working knowledge of how AI impacts all components of the stack. Understanding AI workload orchestration and MLOps concepts needed to bring AI Infrastructure to the Data Science groups that will consume them. Interfacing, creating, and fostering relationships with strategic partners including NVIDIA, AMD, Intel, and all OEMs that support the latest accelerators (HPE, Dell, SuperMicro, and Others). Acceleration technologies such as GPUs, DPUs, and FPGAs. OS and virtualization technologies: VMware vSphere, Red Hat Linux/KVM, and Microsoft Windows/Hyper‑V. DGX OS (based on Ubuntu). OpenShift AI Platform. NVIDIA NVAIE, Mission Control, Dynamo, NIM, Blueprints, Run:ai and entire ecosystem. AI workload management and orchestration tools. Strong organizational, conflict resolution, time management, and negotiation skills are required. Sound written and verbal communication skills. Working knowledge of the following areas and products: Docker & Kubernetes. Cluster Networking. Cluster and Workload Management - NVIDIA (BCM), Slurm and others. Python coding a plus. Artificial Intelligence and Machine Learning concepts, toolkits, and workloads. Firm organizational, conflict resolution, time management and negotiation skills are required. Travel Requirements: 25‑50%. 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: Combined Health Insurance, Employee Assistance Program, Wellness program. Financial Benefits: Competitive pay, Profit Sharing, Life and Disability Insurance, Tuition Reimbursement. Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Bereavement. 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 WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job‑related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call and ask for Human Resources. #J-18808-Ljbffr