Quick overview
SeniorityMid Senior
Work modeHybrid
LocationWesterville, United States
SAFeMicroservicesAWSSnowflakeComplianceGPTRisk ManagementSAPServiceNowGenerative AISalesforceReactJavaScriptLangChainRAGITIL
Job description
Summary
Vertiv seeks an Enterprise Architect to define and govern enterprise architecture across business, application, data, and technology domains. This senior individual contributor will align technology strategy with business objectives, providing architectural leadership for digital platforms, AI initiatives, integrations, and engineering teams. The role serves as the bridge between business leadership and technical organizations, ensuring scalable, secure, and future-ready solutions that support operational excellence and innovation.
Key Responsibilities
- Define and maintain enterprise architecture strategy, standards, and technology roadmaps.
- Establish architecture governance, reference architectures, design patterns, and technology standards.
- Provide oversight of enterprise applications, integrations, and platform modernization initiatives.
- Guide adoption of Generative AI, LLMs, AI automation, RAG, and agent-based architectures.
- Govern data, integration, API, cloud, and security architecture standards.
- Ensure alignment with GPDO front-end architecture and technology platforms.
- Embed security, compliance, governance, and risk management into architecture decisions.
- Advise executive leadership and mentor technical teams on architectural direction.
Qualifications
Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field. Master's degree preferred.
Experience
- 10+ years in enterprise, solution, or technical architecture.
- 5+ years defining enterprise architecture standards and roadmaps.
- Experience with architecture governance, hybrid cloud environments, and executive-level technology planning.
- Demonstrated leadership of architecture practices.
- Technical Skills
- Expertise with TOGAF, ArchiMate, Zachman, or similar frameworks.
- Experience with AWS, containers, serverless, APIs, microservices, and iPaaS platforms.
- Knowledge of AI architectures, GPT, Claude, Gemini, LangChain, and Llama Index.
- Familiarity with React, JavaScript, Tailwind, and modern UI architectures.
- Strong data architecture, Snowflake, security, identity, and compliance knowledge.
Preferred
- TOGAF certification.
- AWS Solutions Architect certification.
- AI/ML training or certifications.
- Experience with LeanIX, Ardoq, Sparx EA, SAFe, Salesforce, SAP, ServiceNow, and ITIL.
