Position OverviewWe 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 ResponsibilitiesEnterprise 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 QualificationsRequired 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 SkillsAzure 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 RoleYou 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
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
