Solution Architect-Azure AI

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 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)