Associate Distinguished Engineer- Enterprise Architect (Azure AI)

Nagarro is a Digital Product Engineering company that is scaling in a big way. They are seeking a Solution Architect to serve as the technical lead for the AI Adoption initiative, overseeing the AI platform's architecture, governance, security, and compliance while providing technical direction for various AI use cases.

Responsibilities:

• 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
• Implement architectural controls to support FERPA, accessibility (WCAG/508), privacy, and institutional policy requirements
• Ensure solutions incorporate responsible AI checks, fairness validation, and observability
• 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
• 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
• 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
• 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

Requirements:

• 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
• AI Application Solution Design (Strong)
• Metasonic
• Microsoft Azure Artificial Intelligence and Machine Learning (Expert)
• Microsoft Fabric (Expert)