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
• 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, * 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., * 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

Do you have experience in Team leadership?, * 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, * 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., * 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, * 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

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.