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Piscataway, NJ USA, United States of America
Onsite
Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you’ll enjoy:
Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
Continuous professional growth and leadership opportunities.
Health, wellness, and financial benefits to offer peace of mind to you and your family.
World-class facilities and the technology you need to thrive – in our offices or yours.
Role Description
Internal Solution Design
Design scalable AI Lab solution architectures that align with SHI offerings, customer use cases, partner capabilities, and internal delivery standards.
AI Lab Enablement
Develop internal technical enablement content, reference architectures, solution briefs, and guidance materials that help sales, engineering, and delivery teams understand and position AI Lab offerings.
Technical Documentation
Create and maintain solution documentation, technical requirements, Bills of Materials (BOMs), design assumptions, implementation handoff materials, and Statement of Work (SOW) inputs for AI Lab solutions.
Cross-Functional Collaboration
Partner with AI Lab, PMO, Product Management, Sales Enablement, Engineering, and Partner Development teams to align solution design, readiness, and delivery expectations.
Partner and Technology Alignment
Support evaluation of AI ecosystem partners, platforms, infrastructure components, and solution patterns to determine fit for AI Lab use cases.
Practice Development
Help establish repeatable standards, templates, governance, and solution packaging that improve consistency, scalability, and quality across AI Lab offerings.
Technical Advisory
Provide internal technical guidance on AI infrastructure, data center architecture, software platforms, deployment considerations, and emerging AI technology trends.
Operational Readiness
Support intake, prioritization, solution scoping, and handoff processes to ensure AI Lab opportunities are clearly defined and ready for execution.
Behaviors and Competencies
Adaptability: Can proactively adapt to challenging situations, anticipate changes, and make modifications to meet the demands of changing circumstances.
Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.
Documentation: Independently produces and maintains documentation for routine processes; ensures accuracy and consistency.
Leadership: Can proactively seek out leadership roles, initiate team projects, and contribute to team development and success.
Problem Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.
Teamwork: Can lead a team effectively, facilitate cooperation, sharing information, and ensuring that all team members are able to contribute to their full potential.
Self – Motivation: Can proactively seek out challenges, initiate self-development projects, and contribute to personal or professional innovative ideas.
Skill Level Requirements
Expert knowledge of Linux, Kubernetes, and orchestration.
Knowledge of AI infrastructure, networking, and storage.
Ability to design data center infrastructures that include hybrid cloud, hyper-converged, software-defined data center (SDDC), Infrastructure/Platform as a Service (IaaS/PaaS), automation, containerization, and Data Center Management Platforms – Intermediate.
Strong knowledge of virtualization technologies, hypervisors, server virtualization, Software Defined Data Center (SDDC), containerization, and automation – Intermediate.
Ability to effectively communicate and sell complex technical products or services by understanding customer needs, articulating value propositions, and providing technical expertise to support the sales process – Intermediate.
Expertise in mainstream technologies including Dell Technologies, NetApp, HPE, Cisco, Pure Storage, Azure, AWS, Veeam, and Nutanix – Intermediate.
Experience with Disaster Recovery, Business Continuity, and High Availability Solutions (backup/recovery, data protection, mirroring, active/standby, active/active, clustering) – Intermediate.
Certifications in NVIDIA (e.g., DGX Certified) or relevant vendor technologies.
Experience in enterprise data center technologies and solutions.
Knowledge and experience in data center power and cooling technologies.
Familiarity with AI software stacks (e.g., TensorFlow, PyTorch, Kubernetes for AI).
Experience with cloud-hybrid AI deployments or large-scale data center projects.
Knowledge of the AI Factory concept, NCPs, and AI Cloud Providers.
Strong problem-solving skills and a customer-centric mindset.
Other Requirements
Experience in AI labs, data center environments, or advanced technology platforms.
Strong self-directed learning mindset with the ability to stay current in rapidly evolving AI, infrastructure, and platform ecosystems.
Excellent communication, presentation, organizational, and time-management skills.
Willingness to work flexible schedules, including evenings and weekends, as project needs require.
Ability to travel up to 15% for customer, partner, and industry engagements.
Advanced certifications, published research, or a strong record of open-source contributions in AI or related fields are a plus.
The estimated annual pay range for this position is $150,000 - $250,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
Equal Employment Opportunity – M/F/Disability/Protected Veteran Status