Solutions Architect - AI Lab

SHI International Corp. • Piscataway, NJ

21h • $150,000 - $250,000 • Hybrid

About The Position

The Solutions Architect for the AI Lab will support the internal development, evaluation, and operationalization of AI-focused solutions across Advanced Growth Technologies. This role will serve as a technical advisor and hands-on solution designer for AI solutions, helping translate business needs into scalable lab offerings, repeatable architectures, and practical enablement materials for SHI teams, while implementing these solutions within the SHI AI Lab. This position will partner closely with AI Lab leadership, PMO, engineering, and partner teams to define and deploy solutions, document technical designs, and help mature AI Lab capabilities. The role is internally focused, with an emphasis on solution standardization, technical readiness, partner alignment, and enabling SHI teams to confidently position and deliver AI Lab offerings.

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.
• 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.

Nice To Haves

• 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.
• Advanced certifications, published research, or a strong record of open-source contributions in AI or related fields are a plus.

Responsibilities

• Design scalable AI Lab solution architectures that align with SHI offerings, customer use cases, partner capabilities, and internal delivery standards.
• 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.
• 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.
• Partner with AI Lab, PMO, Product Management, Sales Enablement, Engineering, and Partner Development teams to align solution design, readiness, and delivery expectations.
• Support evaluation of AI ecosystem partners, platforms, infrastructure components, and solution patterns to determine fit for AI Lab use cases.
• Help establish repeatable standards, templates, governance, and solution packaging that improve consistency, scalability, and quality across AI Lab offerings.
• Provide internal technical guidance on AI infrastructure, data center architecture, software platforms, deployment considerations, and emerging AI technology trends.
• Support intake, prioritization, solution scoping, and handoff processes to ensure AI Lab opportunities are clearly defined and ready for execution.

Benefits

• medical
• vision
• dental
• 401K
• flexible spending
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed