Enterprise AI Solutions Architect
MSCCN - Columbus, OH
Apply NowJob Description
Job DescriptionPOSITION SUMMARYThe 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.RESPONSIBILITIESCustomer-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 journeyAI Data Center Infrastructure & Solution Design Advises customers on best practices for AI-ready data center infrastructure, including: Liquid cooling & thermal management for high-power AI servers. High-density power distribution and redundancy strategies. Racks, PDUs, and airflow optimization for AI server clusters. 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
Created: 2026-02-12