Ohio Staffing
Job Title: Enterprise Ai Solution Architect
Position Summary: The Enterprise AI Solution Architect serves as a key technical resource and trusted advisor to enterprise customers wanting to deploy AI in their data centers and edge sites. In this role, you will engage with both end users and partners, in designing and optimizing AI-ready data center environments, providing expertise and best practices in Vertiv thermal, power, and rack solutions, including control and management of these solutions. This role collaborates with Vertiv technical experts on thermal management, power, and IT physical infrastructure solutions, but is responsible for the complete solution. This role is ideal for a technical sales leader who can bridge the gap between customer needs and data center infrastructure solutions, driving sales conversations while influencing product roadmaps. Responsibilities: Customer-Facing Engagement Generated Through Partners And OEMs & Sales Enablement: Acts as the single point of contact for customers evaluating data center infrastructure for AI workloads. Works with partners and OEMs bringing Enterprise AI opportunities to Vertiv for cooling and power solutions. Engages with C-level executives, IT leaders, and operations teams to align AI infrastructure with business objectives. Understands customer pain points and translates them into tailored thermal, power, and infrastructure solutions for high-density AI deployments. Drives strategic conversations across various market segments, from hyperscale data centers to enterprise and edge AI deployments. Performs site walks to assess customer AI site readiness, leads on-site and virtual technical discussions guiding customers through the AI infrastructure buying journey. AI Data Center Infrastructure & Solution Design: Advises customers on best practices for AI-ready data center infrastructure, including liquid cooling & thermal management, high-density power distribution, racks, PDUs, and airflow optimization. Edge AI infrastructure deployment for real-time data processing. Positions company solutions against competitors, identifying unique differentiators to drive customer adoption. Partner Enablement & Training: Participates in training partner Solutions Architects on how to position, sell, and implement AI-focused data center infrastructure. Helps develop and deliver "Train the Trainer" programs to scale knowledge across reseller and VAR networks. Works closely with channel partners and integrators to ensure they effectively position AI-ready infrastructure. Market Intelligence & Competitive Positioning: Provides Voice of the Customer (VOC) insights to internal teams, influencing product development and roadmap strategy. Identifies market gaps and emerging AI infrastructure trends, ensuring our solutions stay ahead of customer needs. Conducts competitive analysis to strengthen our positioning in thermal, power, and IT infrastructure for AI deployments. Collaborates with BU/PLs and CTO organizations to enhance solutions based on real-world customer feedback. Minimum Qualifications: Bachelor's degree with emphasis in Engineering, or related technical field, or equivalent combination of education and experience. 10+ years of experience in the data center industry. Strong sales acumen, with experience in customer-facing roles and solution selling. Must be resourceful, self-motivated, customer focused, able to work on a team and possess strong problem-solving skills.
Position Summary: The Enterprise AI Solution Architect serves as a key technical resource and trusted advisor to enterprise customers wanting to deploy AI in their data centers and edge sites. In this role, you will engage with both end users and partners, in designing and optimizing AI-ready data center environments, providing expertise and best practices in Vertiv thermal, power, and rack solutions, including control and management of these solutions. This role collaborates with Vertiv technical experts on thermal management, power, and IT physical infrastructure solutions, but is responsible for the complete solution. This role is ideal for a technical sales leader who can bridge the gap between customer needs and data center infrastructure solutions, driving sales conversations while influencing product roadmaps. Responsibilities: Customer-Facing Engagement Generated Through Partners And OEMs & Sales Enablement: Acts as the single point of contact for customers evaluating data center infrastructure for AI workloads. Works with partners and OEMs bringing Enterprise AI opportunities to Vertiv for cooling and power solutions. Engages with C-level executives, IT leaders, and operations teams to align AI infrastructure with business objectives. Understands customer pain points and translates them into tailored thermal, power, and infrastructure solutions for high-density AI deployments. Drives strategic conversations across various market segments, from hyperscale data centers to enterprise and edge AI deployments. Performs site walks to assess customer AI site readiness, leads on-site and virtual technical discussions guiding customers through the AI infrastructure buying journey. AI Data Center Infrastructure & Solution Design: Advises customers on best practices for AI-ready data center infrastructure, including liquid cooling & thermal management, high-density power distribution, racks, PDUs, and airflow optimization. Edge AI infrastructure deployment for real-time data processing. Positions company solutions against competitors, identifying unique differentiators to drive customer adoption. Partner Enablement & Training: Participates in training partner Solutions Architects on how to position, sell, and implement AI-focused data center infrastructure. Helps develop and deliver "Train the Trainer" programs to scale knowledge across reseller and VAR networks. Works closely with channel partners and integrators to ensure they effectively position AI-ready infrastructure. Market Intelligence & Competitive Positioning: Provides Voice of the Customer (VOC) insights to internal teams, influencing product development and roadmap strategy. Identifies market gaps and emerging AI infrastructure trends, ensuring our solutions stay ahead of customer needs. Conducts competitive analysis to strengthen our positioning in thermal, power, and IT infrastructure for AI deployments. Collaborates with BU/PLs and CTO organizations to enhance solutions based on real-world customer feedback. Minimum Qualifications: Bachelor's degree with emphasis in Engineering, or related technical field, or equivalent combination of education and experience. 10+ years of experience in the data center industry. Strong sales acumen, with experience in customer-facing roles and solution selling. Must be resourceful, self-motivated, customer focused, able to work on a team and possess strong problem-solving skills.