Enterprise Architect

Full-time

Charlotte, NC OR Jersey City, NJ

Responsibilities:

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 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


• Cloud AI services (AWS, Azure, GCP)


• Enterprise integration patterns


• Security and compliance frameworks


• Data architecture and governance