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Nagarro

Nagarro (Frankfurt: NA9) is a leader in digital product engineering and drives technology-led business breakthroughs.

Associate Distinguished Engineer – Enterprise Architect, Azure AI

IT SupportIT SupportFull TimeRemoteMid LevelTeam 10,001+Since 1996H1B SponsorCompany SiteLinkedIn

Location

New York

Posted

19 days ago

Salary

$170K - $220K / year

Seniority

Mid Level

Bachelor DegreeEnglishAzureCloud

Job Description

Associate Distinguished Engineer – Enterprise Architect, Azure AI

Nagarro

• 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.

Job 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.

Benefits

  • Health insurance
  • Flexible working hours
  • Professional development opportunities

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