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Nagarro

Associate Distinguished Engineer – Enterprise Architect, Azure AI

Nagarro

Solution Architect for AI Adoption initiatives at a digital product engineering company responsible for creating secure, scalable AI platforms and overseeing compliance across multiple environments.

Posted 5/12/2026full-timeRemote • New York • 🇺🇸 United StatesJuniorMid-Level💰 $170,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies
AzureCloud

About the role

Key responsibilities & impact
  • 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.
  • 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.
  • Establish CI/CD pipelines, monitoring dashboards, cost transparency mechanisms, and lifecycle management processes.
  • Review prototypes, solution designs, integrations, and deployments for technical completeness and architectural alignment.
  • Provide coaching and guidance to development and engineering teams.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • Health insurance
  • Flexible working hours
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
cloud architectureAzure OpenAIAzure AI FoundryPower PlatformMicrosoft FabricMicrosoft CopilotMLOpsCI/CDdata governanceintegration patterns
Soft Skills
strong communicationcoachingguidancecollaborationtranslating technical concepts