Enterprise Architect (Azure AI):
- Location: NYC preferred, Open all over USA
- For Tri State area candidates, role is Hybrid (2-3 days a week in office)
- For All over USA, role is Remote with Travel as needed
- Interview: 3-4 rounds of interview, final round in person in NYC Nagarro Office or Atlanta Nagarro Office
- Experience: 16-25 years relevant experience. Strong background in AI/ML, Azure AI
Key Responsibilities
AI Platform & Landing Zone Architecture
· Architect the AI Landing Zone, including Azure OpenAI, Azure AI Foundry, Power Platform, Microsoft Fabric, and Microsoft Copilot services.
· Ensure the platform is secure, compliant, and designed to scale across academic, administrative, research, and healthcare environments.
· Define and enforce governance, identity/SSO integration, and infrastructure requirements.
Security, Compliance & Responsible AI Controls
· Implement architectural controls to support FERPA, accessibility (WCAG/508), privacy, and institutional policy requirements.
· Ensure solutions incorporate responsible AI checks, fairness validation, and observability.
Integration & Data Architecture
· Design integration patterns with core client systems (SIS, LMS, SSO, APIs, data sources).
· Collaborate with the Data/Technology Lead to define secure data pipelines, connectors, and access patterns.
· Ensure interoperability and reliability across departments and technical environments.
Use Case Technical Design & Feasibility
· Evaluate technology options (Azure OpenAI, Copilot, Power Platform, Fabric) for each use case.
· Define technical requirements, constraints, and architectural components for low, medium, and high-complexity use cases.
· Provide technical guidance to developers and ML engineers during design, build, and deployment.
Platform Maturity, Monitoring & MLOps
· Establish CI/CD pipelines, monitoring dashboards, cost transparency mechanisms, and lifecycle management processes.
· Set standards for performance, security, reliability, and operational readiness.
· Support the evolution of the platform from early pilots to scalable enterprise services.
Technical Leadership & Quality Assurance
· Review prototypes, solution designs, integrations, and deployments for technical completeness and architectural alignment.
· Ensure consistency of implementation across teams and phases.
· Provide coaching and guidance to development and engineering teams.
Required Qualifications
· Expertise in cloud/enterprise architecture, preferably across Azure AI services.
· Strong understanding of identity, security, compliance frameworks, and data governance.
· Experience designing scalable AI or cloud platforms and integrating enterprise systems.
· Ability to evaluate technical feasibility, optimize performance, and implement MLOps/CI-CD.
· Strong communication skills for translating complex technical concepts to non-technical stakeholders.
Good to have skills:
AI Application Solution Design (Strong), Metasonic, Microsoft Azure Artificial Inteligence and Machine Learning (Expert), Microsoft Fabric (Expert)
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