Enterprise Architect - Azure AI & Intelligent Platforms

About Us At 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. Position Overview 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 platforms AI Landing Zone architecture Enterprise integrations Responsible AI governance Cloud‑native modernization Enterprise‑scale AI enablement MLOps and platform engineering You will serve as the technical authority and architecture lead responsible for designing secure, scalable, compliant, and production‑ready AI platforms leveraging: Azure OpenAI Azure AI Foundry Microsoft Fabric Microsoft Copilot Azure Machine Learning Power Platform Enterprise Data & Integration Services This role requires a strong blend of: Enterprise architecture leadership AI platform engineering expertise Cloud‑native architecture Governance and security knowledge Executive stakeholder engagement Consulting and delivery leadership Key Responsibilities Enterprise AI Platform Architecture Design 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 Engineering Lead 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 AI Ensure 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 Architecture Design 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 & MLOps Define 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 & Consulting Serve 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 Qualifications Required Experience 12+ 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 Skills Azure AI & Cloud Technologies Azure OpenAI Azure AI Foundry Azure Machine Learning Azure AI Search Microsoft Fabric Azure Databricks Azure Functions Azure Kubernetes Service (AKS) Power Platform Microsoft Copilot AI & Data Engineering RAG Architecture LLM Orchestration Agentic AI Workflows Vector Databases & Embeddings AI Governance & Responsible AI MLOps / MLflow Data Engineering & Pipelines Enterprise API Integrations Cloud & DevOps CI/CD pipelines Azure DevOps GitHub / Git Docker / Containers Infrastructure as Code Monitoring & Observability Preferred Qualifications Experience 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 Role You are: A strategic thinker with deep technical expertise Passionate about AI and enterprise innovation Comfortable operating in fast‑paced consulting environments Able to communicate complex technical concepts to business leaders Experienced balancing architecture governance with delivery agility Motivated by solving large‑scale enterprise transformation challenges Why Join Inabia? Work on cutting‑edge AI and cloud transformation initiatives Collaborate with enterprise architecture and engineering leaders Help shape AI adoption and modernization strategies Access continuous learning and professional growth opportunities Flexible, collaborative, and innovation‑driven culture Opportunity to influence enterprise‑scale digital transformation programs Location & Work Model Hybrid role based near New York City Candidates should reside within a reasonable commuting distance to NYC or be willing to relocate Occasional client‑site meetings and architecture workshops may be required Equal Opportunity Employer Inabia is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. #J-18808-Ljbffr