Enterprise Architect – Azure AI & Intelligent Platforms

Enterprise Architect / Solution Architect – Azure AIAt Inabia, we help organizations accelerate digital transformation through innovative technology solutions, enterprise consulting, and world-class engineering talent. We partner with enterprise clients across multiple industries to deliver scalable cloud platforms, AI-driven modernization initiatives, intelligent automation solutions, and next-generation digital experiences. Our culture is collaborative, fast-paced, innovation-focused, and built around delivering measurable business value.

If you are passionate about AI, enterprise architecture, cloud transformation, and modern engineering practices, we would love to speak with you.We are seeking a highly experienced Enterprise Architect / Solution Architect – Azure AI to lead the design, governance, and evolution of scalable enterprise AI platform ecosystems supporting enterprise-wide AI adoption initiatives. This is a highly strategic and hands-on architecture leadership role focused on:Azure AI & Generative AI platformsAI Landing Zone architectureEnterprise integrationsResponsible AI governanceCloud-native modernizationEnterprise-scale AI enablementMLOps and platform engineeringYou will serve as the technical authority and architecture lead responsible for designing secure, scalable, compliant, and production-ready AI platforms leveraging:Azure OpenAIAzure AI FoundryMicrosoft FabricMicrosoft CopilotAzure Machine LearningPower PlatformEnterprise Data & Integration ServicesThis role requires a strong blend of:Enterprise architecture leadershipAI platform engineering expertiseCloud-native architectureGovernance and security knowledgeExecutive stakeholder engagementConsulting and delivery leadershipKey ResponsibilitiesEnterprise AI Platform ArchitectureDesign and govern enterprise-scale AI Landing Zone architectures on Microsoft Azure.Architect secure, scalable, cloud-native AI platforms leveraging Azure OpenAI, Azure AI Foundry, Microsoft Fabric, Copilot, and related Azure AI services.Establish enterprise architecture standards, reusable frameworks, reference architectures, and governance models for AI adoption.Generative AI & Intelligent Platform EngineeringLead the architecture of GenAI, RAG, agentic AI, and intelligent automation solutions.Design scalable AI orchestration and enterprise AI integration patterns.Define enterprise AI operational models, observability, and AI lifecycle management standards.Collaborate with engineering teams on AI implementation strategies and platform scalability.Security, Compliance & Responsible AIEnsure AI platforms comply with enterprise security, privacy, accessibility, and regulatory standards.Implement governance frameworks supporting Responsible AI, explainability, fairness, and observability.Architect secure identity, SSO, RBAC, and enterprise access-control models.Enterprise Integrations & Data ArchitectureDesign integration architectures across enterprise systems including ERP, CRM, SIS, LMS, APIs, Enterprise Data Platforms, Identity Providers.Establish secure data pipelines, AI data ingestion frameworks, and enterprise connectivity models.Partner with data engineering teams to optimize AI-ready enterprise data ecosystems.AI Platform Operations & MLOpsDefine enterprise MLOps standards and AI operational governance.Establish CI/CD pipelines, model monitoring, retraining strategies, and deployment automation.Ensure operational readiness, resiliency, scalability, and cost optimization across AI services.Technical Leadership & ConsultingServe as a trusted advisor to executive leadership, stakeholders, and delivery teams.Lead architecture reviews, solution governance, technical risk assessments, and modernization roadmaps.Mentor architects, engineers, and development teams across enterprise AI initiatives.Support pre-sales, client workshops, architecture strategy sessions, and enterprise transformation initiatives.Required QualificationsRequired Experience12+ years of experience in enterprise architecture, solution architecture, or cloud architecture roles.Strong hands-on experience with Microsoft Azure cloud ecosystems.Deep expertise designing enterprise AI and Generative AI platforms.Proven experience implementing scalable cloud-native architectures and enterprise integration solutions.Experience leading AI modernization, cloud transformation, or intelligent automation programs in enterprise environments.Strong consulting or IT Services background with enterprise client delivery experience.Experience working in Agile and enterprise SDLC delivery environments.Required Technical SkillsAzure AI & Cloud TechnologiesAzure OpenAIAzure AI FoundryAzure Machine LearningAzure AI SearchMicrosoft FabricAzure DatabricksAzure FunctionsAzure Kubernetes Service (AKS)Power PlatformMicrosoft CopilotAI & Data EngineeringRAG ArchitectureLLM OrchestrationAgentic AI WorkflowsVector Databases & EmbeddingsAI Governance & Responsible AIMLOps / MLflowData Engineering & PipelinesEnterprise API IntegrationsCloud & DevOpsCI/CD pipelinesAzure DevOpsGitHub / GitDocker / ContainersInfrastructure as CodeMonitoring & ObservabilityPreferred QualificationsExperience in higher education, healthcare, research, or highly regulated enterprise environments.Microsoft Azure certifications preferred.Experience with enterprise AI governance frameworks and AI compliance models.Experience supporting enterprise AI adoption initiatives at scale.Strong executive communication and stakeholder engagement capabilities.Experience working in consulting-led enterprise transformation programs.What Makes You Successful in This RoleYou are:A strategic thinker with deep technical expertisePassionate about AI and enterprise innovationComfortable operating in fast-paced consulting environmentsAble to communicate complex technical concepts to business leadersExperienced balancing architecture governance with delivery agilityMotivated by solving large-scale enterprise transformation challengesWhy Join Inabia?Work on cutting-edge AI and cloud transformation initiativesCollaborate with enterprise architecture and engineering leadersHelp shape AI adoption and modernization strategiesAccess continuous learning and professional growth opportunitiesFlexible, collaborative, and innovation-driven cultureOpportunity to influence enterprise-scale digital transformation programsLocation & Work ModelHybrid role based near New York CityCandidates should reside within a reasonable commuting distance to NYC or be willing to relocateOccasional client-site meetings and architecture workshops may be requiredEqual Opportunity EmployerInabia is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.