Associate Distinguished Engineer- Enterprise Architect (Azure AI)

Nagarro•New York City, NY

5d•Remote

About The Position

The Solution Architect serves as the technical lead and platform owner for the AI Adoption initiative. This role designs and governs the AI Landing Zone, oversees integrations, ensures security and compliance, and provides technical direction for all AI use cases and platform components. The Solution Architect ensures that the AI platform is scalable, secure, interoperable, and aligned with IT standards, supporting both pilot development and long-term institutionalization.

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.

Nice To Haves

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

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.
Work closely with the Functional Consultant to ensure technical designs meet functional needs.
Work with the Data/Technology Lead on integrations and data architecture.
Work with developers on implementation.
Support the Project Manager with technical sequencing and risk mitigation.
Engage governance groups and ITS stakeholders as needed.