Enterprise Architect

Citco is seeking an experienced Enterprise Architect to join its Architecture team in Charlotte, North Carolina. This is a full-time 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.

Responsibilities

• Define and maintain enterprise architecture across application, data, integration, cloud, and platform domains
• Lead the design and implementation of scalable cloud-native solutions and establish architecture standards based on practical delivery experience
• 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
• 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
• 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-premises solutions
• Promote observability, resiliency, disaster recovery, and operational readiness by design
• Review and approve AI solution designs
• Identify opportunities for reusable components and guide teams on technical implementation approaches
• Evaluate new AI technologies and platforms
• Drive the evolution of the enterprise AI platform capabilities
• Evaluate emerging technologies including AI, generative AI, automation, and data platforms
• Define how AI capabilities are responsibly embedded into enterprise solutions
• Define roadmap for platform capabilities and features
• Guide integration of emerging technologies with existing enterprise systems

Qualifications

• Required
• 10+ years of experience in software engineering, solution architecture, or enterprise architecture
• Demonstrated hands-on experience designing, building, deploying, and supporting enterprise solutions on AWS, including the ability to explain architectural decisions, trade-offs, scalability, security, and operational considerations
• 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
• Experience owning and delivering complex enterprise applications end-to-end, including architecture, development, deployment, support, and continuous improvement
• Experience designing highly available, scalable, and disaster recovery-enabled solutions
• Ability to explain solution architecture and technical decisions end-to-end
• Strong enterprise architecture frameworks, principles, and governance experience
• Hands-on experience building and implementing enterprise applications; comfort reviewing code, solution designs, and technical implementations
• Deep expertise in application, data, integration, and cloud architecture
• Strong software engineering background with hands-on development experience; proficiency with Python, Node.js, Java, C#, or similar languages, with demonstrated ownership of application design and implementation
• Extensive hands-on experience with AWS services and cloud-native design patterns (compute, storage, networking, serverless, IAM, etc.)
• Strong understanding of security, compliance, and risk considerations
• Experience with API-driven and event-driven architectures
• Data architecture, governance, and integration patterns expertise
• Ability to translate strategy into executable architecture