Enterprise Architect - AI

We are seeking an experienced Senior Enterprise Architect
. This is a senior technical leadership role responsible for defining and governing enterprise-wide architecture across applications, platforms, data, cloud, and emerging technologies, with AI and agentic automation as key enabling capabilities
.

The role focuses on setting direction, standards, and guardrails to ensure scalable, secure, and well-governed solutions across the organization.

40-60% working in AI - 3 days on site working in Charlotte, NC

• Enterprise AI Architecture:
  
  Define and maintain enterprise architecture across application, data, integration, cloud, and platform domains
• Establish architecture principles, standards, and reference architectures
• Ensure consistent adoption of enterprise patterns across technology initiatives
• Integrate AI, automation, and analytics capabilities into the broader enterprise architecture
• Align technology architecture with business strategy and long-term roadmap
• Technical Leadership:
  
  Provide architectural leadership across major enterprise initiatives
• Guide solution architects and engineering teams on architecture decisions
• Define reusable architectural patterns and shared platform capabilities
• Act as a design authority for complex, cross-domain solutions
• Balance innovation with stability, security, and operational maturity
• Standards & Governance:
  
  Establish governance models for platforms, integrations, data, and AI-enabled solutions
• Define security, compliance, and risk guardrails in collaboration with security and risk teams
• Review solution designs for alignment with enterprise standards
• Ensure architectural consistency across cloud, SaaS, and on-prem solutions
• Promote observability, resiliency, and operational readiness by design
• Solution Design & Review:
  
  Review and approve AI solution designs
• Ensure alignment with enterprise architecture standards
• Identify opportunities for reusable components
• Guide teams on technical implementation approaches
• Evaluate new AI technologies and platforms
• Platform Evolution:
  
  Drive the evolution of our AI platform capabilities
• Identify and evaluate emerging AI technologies
• Define roadmap for platform capabilities and features
• Guide integration with existing enterprise systems

• 10+ years of experience in enterprise or solution architecture roles
• Strong background in large-scale, distributed enterprise systems
• Proven experience designing cloud-native and hybrid architectures
• Hands-on understanding of data, integration, and platform architectures
• Experience incorporating AI and automation into enterprise solutions (not limited to AI platforms)
• You should possess the following skills:
  
  Enterprise architecture frameworks, principles, and governance
• Application, data, integration, and cloud architecture
• Strong understanding of security, compliance, and risk considerations
• Cloud platforms (AWS, Azure, or equivalent)
• API-driven and event-driven architectures
• Data architecture, governance, and integration patterns
• Ability to translate strategy into executable architecture
• Clear technical communication with senior stakeholders
• Technical Expertise:
  
  Large Language Models and GenAI technologies
• RAG architectures and implementation patterns
• Security and compliance frameworks
• Data architecture and governance

• A challenging and rewarding role in an award-winning global business.
• Opportunities for personal and professional career development.
• Great working environment, competitive salary and benefits, and opportunities for educational support.
• Be part of an industry leading global team, renowned for excellence.