Consulting Systems Engineer - AIPaaS - Global Service Provider

Preferred Qualifications:

• Experience working with AWS, Azure, Google, Neoclouds and NVIDIA Cloud Partners.
• Familiarity with AI software frameworks like PyTorch, TensorFlow, and NVIDIA AI Enterprise.
• Experience in edge AI deployments and distributed AI infrastructure.
• Industry certifications related to AI, HPC, networking, or cloud technologies.

Why Join Us?

• Opportunity to shape the future of AI infrastructure with cutting-edge technology.
• Work with industry-leading AI partners and major cloud providers.
• Be a part of a highly specialized, technically elite team at WWT.
• Engage in high-impact projects that drive next-generation AI and HPC innovation.

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, Onsite Health Centers, Employee Assistance Program, Wellness program 
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement 
• Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement 
• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program

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! 

Equal Opportunity Employer

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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!

Want to work with highly motivated individuals that come together to form high performance team? Come join WWT today! We are looking for a Consulting Systems Engineer to join our Global Service Providers team.

Key Responsibilities:

• Customer Engagement & Requirements Gathering:
• Conduct in-depth assessments and analyses to understand client needs, challenges, and strategic objectives.
• Provide technical direction and recommendations based on business requirements.
• Guide customers from concept to deployment of AI and HPC solutions.
• Responsibilities:
• Design and architect end-to-end AI infrastructure solutions, including racks, GPUs, storage, networking, and power/cooling infrastructure.
• Develop detailed Bills of Materials (BoMs) covering all required components for full-stack AI data center deployments.
• Provide guidance on modular data centers and power generation solutions for AI infrastructure.
• Create and present compelling business cases, proposals, and recommendations for integrating AI solutions into client workflows and processes.
• Collaborate with cross-functional teams to design and implement customized AI strategies and roadmaps aligned with client priorities.
• Lead discussions, workshops, and presentations to educate C-level stakeholders on AI trends, capabilities, and best practices.
• Stay abreast of industry trends, emerging technologies, and competitive landscape to identify new opportunities for innovation and growth.
• Serve as a thought leader and advocate for AI within the organization and the broader industry through participation in conferences, events, and networking activities.
• Technical Expertise in Data Center Technologies:
• Deep knowledge of power and cooling technologies for AI workloads.
• Expertise in networking, switching, and storage architectures.
• Develop strong relationships with key OEM partners and technical teams.
• Proficiency in GPU hardware, software, and networking requirements.
• Knowledge of private cloud architectures, including virtualization, containerization, and software-defined infrastructure.
• NVIDIA Technology Expertise:
• In-depth understanding of NVIDIA’s AI and HPC technology stack, including:
• NVIDIA GPUs (H100, A100, L40S, etc.).
• NVIDIA Networking (InfiniBand, Ethernet, NVSwitch).
• NVIDIA AI software stacks (CUDA, TensorRT, AI Enterprise, DGX systems).
• Work closely with NVIDIA and Neocloud partners to integrate their solutions into customer deployments.
• Project Delivery & Implementation Support:
• Work with cross-functional teams including sales, engineering, and service delivery to ensure seamless execution.
• Stay up-to-date on the latest AI, GPU, and HPC industry trends and best practices.

Required Qualifications:

• 10+ years of experience in data center infrastructure, AI architecture, or HPC solutions engineering.
• Strong expertise in power and cooling technologies for high-density computing environments.
• Extensive experience in designing and deploying GPU-based AI solutions.
• Deep understanding of networking and storage architectures for AI and HPC workloads.
• Experience in designing and building private cloud solutions, including hyperconverged infrastructure and software-defined data centers.
• Proficiency in modular data center design and power generation solutions.
• Strong knowledge of NVIDIA’s technology stack, including GPUs, networking, and AI software.
• Hands-on experience with data center infrastructure components, including racks, power distribution, and cooling systems.
• Ability to work with enterprise customers, cloud providers, and AI startups to design, deploy, and optimize AI and HPC solutions.
• Strong customer-facing skills.