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