Enterprise Architect

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 technologiesRAG architectures and implementation patterns Cloud AI services (AWS, Azure, GCP)Enterprise integration patterns Security and compliance frameworks Data architecture and governance