Enterprise AI Architect
This is a hybrid role in Charlotte, NCLocal candidates onlyResponsibilities:Enterprise AI Architecture:Design and maintain Client's enterprise AI platform architectureEstablish technical standards for AI solution implementationDefine integration patterns for AI services across Client's technology landscapeCreate and maintain AI reference architectures, including RAG implementationsDevelop model registry and lifecycle management frameworksTechnical Leadership:Lead the technical design of AI platform components and servicesDefine agent orchestration standards and patternsEstablish guardrails for AI implementation and deploymentCreate architectural patterns for knowledge base governanceGuide teams on technical implementation of AI solutionsStandards & Governance:Develop technical standards for AI model deployment and managementCreate governance frameworks for AI platform componentsDefine security and compliance requirements for AI implementationsEstablish monitoring and observability standardsMaintain architectural compliance across AI initiativesSolution 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 platformsPlatform Evolution:Drive the evolution of Client's AI platform capabilitiesIdentify and evaluate emerging AI technologiesDefine roadmap for platform capabilities and featuresEnsure scalability and performance of AI solutionsGuide integration with existing enterprise systemsRequirements:10+ years of enterprise architecture experience5+ years specifically focused on AI/ML platforms and solutionsStrong background in large-scale distributed systemsExperience with major cloud AI services and platformsDeep understanding of AI security and governance requirementsExpert knowledge of AI/ML architectures and platformsStrong enterprise architecture capabilitiesDeep understanding of security and compliance requirementsExperience with cloud-native architecturesKnowledge of AI model lifecycle managementExpertise in data architecture and integration patternsStrong technical leadership and communication abilitiesLarge Language Models and GenAI technologiesRAG architectures and implementation patternsCloud AI services (AWS, Azure, GCP)Enterprise integration patternsSecurity and compliance frameworksData architecture and governanceModel operations and MLOps