Enterprise Architect

Full-timeCharlotte, NCAbout the RoleWe are seeking an experienced Senior Enterprise Architect to join our Client’s Architecture team. This is a 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.ResponsibilitiesEnterprise Architecture & Strategy:Define and maintain enterprise architecture across application, data, integration, cloud, and platform domainsLead 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 initiativesIntegrate AI, automation, and analytics capabilities into the broader enterprise architectureAlign technology architecture with business strategy and long-term roadmapTechnical Leadership:Provide architectural leadership across major enterprise initiativesGuide solution architects and engineering teams on architecture decisionsDefine reusable architectural patterns and shared platform capabilitiesAct as a design authority for complex, cross-domain solutionsBalance innovation with stability, security, and operational maturityStandards & Governance:Establish governance models for platforms, integrations, data, and AI-enabled solutionsDefine security, compliance, and risk guardrails in collaboration with security and risk teamsReview solution designs for alignment with enterprise standardsEnsure architectural consistency across cloud, SaaS, and on-prem solutionsPromote observability, resiliency, disaster recovery, and operational readiness by designSolution Design & Review:Review and approve AI solution designsEnsure alignment with enterprise architecture standardsIdentify opportunities for reusable componentsGuide teams on technical implementation approachesEvaluate new AI technologies and platformsEmerging Technology & Platform Evolution:Drive the evolution of Client's AI platform capabilitiesEvaluate emerging technologies including AI/GenAI, automation, and data platformsDefine how AI capabilities are responsibly embedded into enterprise solutions.Define roadmap for platform capabilities and featuresGuide integration with existing enterprise systemsQualificationsYou must have 10+ years 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 systemsProven experience designing cloud-native and hybrid architecturesHands-on understanding of data, integration, and platform architecturesExperience incorporating AI and automation into enterprise solutions (not limited to AI platforms)Experience owning and delivering complex enterprise applications end-to-end, including architecture, development, deployment, support, and continuous improvementExperience designing highly available, scalable, and disaster recovery-enabled solutions.Ability to explain solution architecture and technical decisions end to endYou should possess the following skills:Strong enterprise architecture frameworks, principles, and governance experienceThis is a hands-on architecture role. Candidates must have recent experience building and implementing enterprise applications and be comfortable reviewing code, solution designs, and technical implementations.Deep expertise in application, data, integration, and cloud architectureStrong software engineering background with hands-on development experience. Experience with Python, Node.js, Java, C#, or similar languages is acceptable, provided candidates can demonstrate 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 considerationsExperience with API-driven and event-driven architecturesData architecture, governance, and integration patternsAbility to translate strategy into executable architectureClear technical communication with senior stakeholdersTechnical Expertise:AWS cloud platform (e.g., Lambda, ECS/EKS, S3, DynamoDB, RDS, API Gateway, Step Functions, IAM)Strong understanding of production operations, observability, reliability, and operational support modelsKubernetesDockerContainer orchestration platformsCloud-native deployment architecturesDevelopment using Python and/or Node.jsLarge Language Models and GenAI technologiesRAG architectures and implementation patternsCloud AI services (AWS, Azure, GCP)Enterprise integration patternsSecurity and compliance frameworksData architecture and governance