nterprise 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)