Solutions Architect - AI Lab

About the role

The Solutions Architect for the AI Lab supports the internal development, evaluation, and operationalization of AI-focused solutions across Advanced Growth Technologies. This role serves as a technical advisor and hands-on solution designer for AI solutions, translating business needs into scalable lab offerings, repeatable architectures, and practical enablement materials for SHI teams.

Responsibilities

• 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.
• 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.

Qualifications

• 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.

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.

Pay and Benefits

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.