Enterprise Architect – Azure AI & Intelligent Platforms

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, and MLOps and platform engineering.

Responsibilities

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; 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; 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; 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; 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; 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

Requirements

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; 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; RAG Architecture; LLM Orchestration; Agentic AI Workflows; Vector Databases & Embeddings; AI Governance & Responsible AI; MLOps / MLflow; Data Engineering & Pipelines; Enterprise API Integrations; CI/CD pipelines; Azure DevOps; GitHub / Git; Docker / Containers; Infrastructure as Code; Monitoring & Observability

Nice to have

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; 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

Benefits

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