Solutions Architect - AI Lab

Solutions Architect For The Ai Lab

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.

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,…