Director, Engineering Artificial Intelligence
The Director, Engineering Artificial Intelligence will lead Vertiv's strategic integration of Artificial Intelligence, Machine Learning, and Automation across all engineering disciplines. This role will require a combination of deep technical expertise, visionary leadership, and cross-functional program management to accelerate innovation and efficiency in engineering design, product documentation, and development processes. This position will be based onsite at Vertiv's Westerville, OH - HQ location.
Responsibilities :
- AI / ML Technical Leadership :
- Serve as an enterprise-wide subject matter expert in AI, ML, and automation technologies
- Guide the development and deployment of AI tools for engineering design, simulation, documentation, and optimization
- Collaborate with software, mechanical, electrical, and systems engineering teams to embed AI into core workflows
- Evaluate and recommend AI platforms, frameworks, and tools (e.g., generative design, predictive analytics, digital twins)
- AI Advocacy & Opportunity Development :
- Act as the lead internal advocate for AI adoption across Vertiv Engineering
- Identify and prioritize high-impact AI use cases through close engagement with engineering leaders and product teams
- Lead workshops, training, and communications to build AI fluency and enthusiasm across the organization
- Partner with innovation, product, and IT teams to align AI initiatives with business strategy
- Program & Project Management :
- Lead cross-functional AI implementation projects across all engineering disciplines
- Define project scope, success metrics, timelines, and resource plans
- Oversee pilot programs, phased rollouts, and full-scale deployments of AI solutions
- Ensure alignment with engineering standards, compliance, and data governance policies
Requirements :
Bachelor's Degree in Computer Science, Engineering, Data Science, or a related technical field; Master's Degree in a technical discipline is preferred.Specialized coursework or certifications in AI / ML, automation, or systems engineering is strongly preferred10+ years of experience in engineering or technology leadership roles, with at least 5 years focused on the implementation of processes and / or toolsProven track record of deploying AI / ML solutions in engineering or manufacturing environmentsExperience managing cross-functional teams and complex technical programs in a multinational companyFamiliarity with tools such as Python, TensorFlow, PyTorch, MATLAB, CAD / CAE platforms, and PLM systemsStrong communication and demonstrated change management skillsStrategic thinker with a bias for action and resultsPassion for innovation and continuous improvementDemonstrated ability to successfully manage multiple projects, including both planned development efforts and ongoing system and tool maintenanceDesign experience with complex mechanical or electrical systems, with at least a general understanding of the key considerations of the other disciplineSolid understanding of full product lifecycle managementA basic understanding of Lean and Six Sigma concepts is required, and formal DFx training or a Six Sigma Green Belt is advantageousDemonstrated understanding of business operation is required, with demonstrated success in managing team and project budgetsSelf-motivated, capable of working with minimal supervision and in a timely mannerExcellent Interpersonal skills and the ability to communicate effectively in both written and spoken EnglishWillingness to travel as needed, both domest