Enterprise Architect

Perennial Resources International; Charlotte (NC); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading resources firm in Charlotte, North Carolina, is seeking an experienced Enterprise Architect. You will define and maintain architecture across diverse domains including data and cloud, provide technical leadership across initiatives, and ensure alignment with business strategy. The ideal candidate has over 10 years of experience in enterprise or solution architecture, a strong background in distributed systems, and expertise in integrating AI capabilities. This role demands effective communication with senior stakeholders and a deep understanding of security and compliance considerations.

Qualifications

• 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.

Responsibilities

• Define and maintain enterprise architecture across various domains.
• Provide architectural leadership across major enterprise initiatives.
• Establish governance models for platforms and integrations.
• Drive the evolution of AI platform capabilities.

Skills

Enterprise architecture

Solution architecture

AI integration

Cloud architecture

Technical leadership

Tools

AWS

Azure

Job description

• 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 Citco's AI platform capabilities
• Identify and evaluate emerging AI technologies
• Define roadmap for platform capabilities and features
• Guide integration with existing enterprise systems

Requirements:

• 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)
• 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
• Large Language Models and GenAI technologies
• RAG architectures and implementation patterns