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.

• 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.

Preferred Skills

• 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.

• 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.